Data Scientist Jobs in Appleton, WI

**Employee Type:** Full time **Job Type:** Information Technology Data Management **Job Posting Title:** Supply Chain Data Scientist **About Us** **:** TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values- **Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together.** We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. **What You G** **ain** **:** + Competitive compensation and benefits program with no waiting period - you're eligible from your first day! + 401(k) program with 5% employer match and 100% vesting as soon as you enroll. + Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). + Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. + An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. + Access to our wellness and employee assistance programs. **Job Description:** **_About the Role:_** Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. **_You'll add value to this role by performing various functions including, but not limited to:_** + Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. + Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. + Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. + Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. + Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. + Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. + Other duties as assigned. **_Important Details_** **_:_** + This is a remote role on first shift. + The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. **_You'll fit right in if you have:_** + Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. + 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. + Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. + Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). + Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. + A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. **Your TreeHouse Foods Career is Just a Click Away!** Click on the "Apply" button or go directly to ****************************** to let us know you're ready to join our team! _At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time"._ _TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact_ _disability-accommodations@treehousefoods.com_ TreeHouse Use Only: #IND1 TreeHouse Foods is a private label food and beverage leader focused on customer brands and custom products. When customers partner with TreeHouse they can expect access to an industry-leading portfolio, strategic vision, on-trend innovation and insights, world-class supply chain, operational excellence and flexibility, collaborative approaches, and dedicated customer service. Our strategy is to be the leading supplier of private label food and beverage products by providing the best balance of quality and cost to our customers. We engage with retail grocery, food away from home, and industrial and export customers, including most of the leading grocery retailers and foodservice operators in the United States and Canada. Our portfolio includes a variety of shelf-stable, refrigerated, and snack products. Customers can expect comprehensive flavor profiles including natural, organic, and preservative-free ingredients in many categories and packaging formats. TreeHouse Foods is best known for food and beverages produced by our two largest businesses Bay Valley Foods, LLC (including E.D. Smith and Sturm Foods) and TreeHouse Private Brands. With more than 10,000 employees in over 29 plants across the United States, Canada, and Italy, TreeHouse Foods is based in Oak Brook, Illinois. **Recruitment Fraud Alert** We want to ensure your career journey with TreeHouse Foods is safe and secure. Scammers may attempt to impersonate our company by sending fake job offers, interview, and sensitive document requests. If you receive an email claiming to be from us, always verify the sender's email address-it should match our official company domain (@treehousefoods.com) exactly. We will _never_ ask for payment, financial, or personal information and documents as part of our interview process. If you suspect fraudulent activity, please contact us directly by visiting the Contact page on our website (****************************************************** . Stay vigilant to protect yourself from recruitment scams. **Disability Assistance and EEO Considerations:** At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time." TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com **To all recruitment agencies:** TreeHouse Foods does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Treehouse Foods employees, or any company location(s). TreeHouse Foods is not responsible for any fees related to unsolicited resumes/CVs.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Acuity is seeking a Data Scientist to work with business leaders to inform company strategies and decision-making through an objective viewpoint by leveraging the team's expertise in deep business knowledge, leveraging data as an asset, and utilizing statistical and advanced analytical techniques as appropriate. The role of Data Scientist - Strategic Analytics uses advanced statistical and analytical techniques to inform highly complex and sophisticated business questions. This role will apply and integrate advanced statistical, mathematical, data mining, and business analysis skills and techniques to discover new behavioral insights, predict outcomes, prescribe decision options, and advise on turning new insights into actionable opportunities. ESSENTIAL FUNCTIONS: Develop solutions, to support analytic insights and visualization using mathematical models, algorithms, machine learning techniques, and robust analytics. Partner with business clients and technical leaders to spearhead the development of standards for appropriate statistical methodology, study design, power and sample size estimation, and data analysis plans for behavioral analytics. Provide data driven decision support for key initiatives of company strategy and measurement related to client, claims, sales, and campaign analyses to understand both growth and economic impact. Determine requisite data elements and partners with data engineers to design integrated datasets for analytical research purposes. Work closely with machine learning engineers and business partners to develop and build behavioral data science and analytics products. Effectively present analytical results and derived recommendations for action to senior leaders, peers, and product team members. Regular and predictable attendance. Performs other duties as assigned. EDUCATION: Bachelor's degree in data science, statistics, mathematics, computer science, economics, or related field. Advanced graduate level degree in a quantitative discipline (statistics, applied mathematics, computer science, econometrics, or a related field) is preferred. EXPERIENCE: A minimum of three years relevant experience to include research and data analysis, experiment design and measurement, or application of statistical research techniques. OTHER QUALIFICATIONS: Expertise in one or more development or statistical analysis tool such as R, Python, SAS, SQL, SPSS, or other tools. Tableau experience is a plus. Proven excellence in research, quantitative analysis, problem solving, and analytical working techniques. Statistical knowledge and intuition. Strong aptitude and desire for learning new analytical and visualization tools, modeling, and quantitative techniques. Initiative to independently design and develop own deliverables while still being a team player. Demonstrates ability to deliver results and recommendations in written, verbal and presentation form at an appropriate level for a business audience. *Acuity does not sponsor applicants for U.S. work authorization.* This job is classified as exempt. We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics. Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default) With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events. Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns. Role: Data Scientist Location: Madison, WI Full Time (Direct Hire) Job description · 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. · Experience in Statistical modeling. · Candidate will be helping the client to lead this process or improve upon the program. · Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing. · Extremely efficient in Python and R. · Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must. · Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge. · MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : ************ ************************************

Elephas is a Madison, WI based biotechnology start-up company working to build an instrument platform that will inform how clinicians treat cancer patients around the world. We are seeking a highly motivated Data Scientist to join our dynamic team of scientists and engineers developing a platform to predict a cancer patient's response to immunotherapy. The successful candidate will be motivated to develop analytical, statistical and computational data science methods and deliver data discovery and insights in a fast-paced, collaborative and interdisciplinary environment. Essential Duties and Responsibilities * Extract meaningful information from high dimensional multi-modal datasets * Assist with data analysis, modeling, visualization, interpretation, presentation and quality control of clinical and basic science data * Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches * Validate and test existing analytical code to improve and harden workflows * Develop and implement algorithms or numerical methods to support quantitative analysis of platform measurement modalities * Work collaboratively and effectively with diverse stakeholders, including immunologists, scientists, data engineers and software engineers Education/Experience/Skills * Bachelor's or Master's degree in Biostatistics, Bioinformatics, Biomedical Engineering, Data Science, Computer Science, or related field * Strong background in quantitative analysis and statistics * 1-3 years experience analyzing biomedical datasets is preferred * Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, statistics, signal processing, image processing, etc. * Experience explaining complex data methodologies to non-technical stakeholders * Familiarity with software development life cycle and best practices * Detail-oriented with strong organizational skills * Excellent verbal and written communication skills * Excellent time management and ability to multi-task * Ability to work both independently and as a member of a cross-functional team We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

At GAF, we cover more than buildings. We cover each other. No matter what role, tenure, or track, under this roof you are empowered to be there for your teammates, your customers, and especially your community. Under this roof, we don't back down from hard work- we support one another in pursuit of something bigger. We define the future while leading the present. And under this roof, we own our opportunities. Becoming the market leader only happens when everyone feels they have the opportunity, and the support, to thrive. We are GAF. And under this roof, we protect what matters most. **Job Summary** As part of a team, develop advanced analytical models to solve business problems leveraging the latest technologies in statistical and Artificial Intelligence (AI) models to achieve organizational goals, increase data-driven insights, functional excellence, and digital expertise. **Essential Duties** + 60% Data Modeling + Transform business problems into data science cases to assess the scope of model's value, speed, and cost in order to articulate model selection criteria. + Build Data Science models using cloud-computing platforms such as AWS, Azure, and Google. + Build Data Science models using any relevant Data Science capability. + Be prepared to automate analytical workflows. + Manage and shape modeling design, development, and delivery process. + 20% Data Collection + Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities. + Develop, maintain, and review data processes and architecture for both on-premise and cloud-based data systems. + Develop and perform standard queries to ensure data quality, identify data inconsistencies, missing data and resolve as needed. + Perform data extraction, storage, manipulation, processing, and analysis. + Conduct programmatic web scraping to acquire external publicly available information. + 20% Model Deployment and Evaluation + Assemble relevant User Interfaces (UIs) or Dashboards. + Assemble, deliver, and effectively communicate actionable insights for decision-makers. **Under This Roof We Require** + Bachelor's Degree Data Science Academy in a related technical Data Science discipline. + 5 or more years of relevant experience **Under This Roof We Also Value** + Master's degree Data Science Academy in a related technical Data Science discipline. **General Knowledge, Skills and Abilities** + Teamwork: Collaborates with other members of formal and informal groups in the pursuit of a common mission, vision, values and mutual goals. + Change Advocate: Identifies and acts upon opportunities for continuous improvement. + Communicates for Results: Expresses technical and business concepts, ideas, feelings, opinions, and conclusions orally and in writing. + Conceptual Thinking: Applies appropriate concepts and theories in the development of principles, practices, techniques, tools and solutions. + Information Seeking: Gathers and analyzes information or data on current and future trends of best practice. + Innovation: Employs sound judgment in determining how innovations will be deployed to produce return on investment. + Problem Solving: Anticipates, identifies and defines problems; seeks root causes. + (Advanced) Data intuition. + (Intermediate) General experience across relevant business operations to enhance understanding would be desirable. + (Entry) Exposure to roofing or manufacturing industry would be helpful **Technical Knowledge, Skills and Abilities** + (Advanced) Python, R, or other relevant Data Science capabilities + (Intermediate) SQL, NoSQL, & Hadoop + (Entry) Any Data or visualization tool or software + (Entry) Web Scraping: Scrapy, bsa, selenium, spiders, and API calls. Consideration will be given based on geography, candidate experience, and qualifications. Annual Salary Range: 135,000-172,500 **How We Protect What Matters Most:** 1. We offer a wide range of health insurance options that include medical, dental, and vision for you and your family. 2. Our Family-Building benefits support the many different journeys to fertility and parenthood. 3. Our robust 401K plan includes an employer match contribution with your pre-tax and/or Roth contributions. 4. Other exciting programs and perks are available to help employees achieve work-life balance, including (but not limited to) a wellness program, free financial coaching, a referral program, and product rebates when purchased for an employee's primary residence. 5. Professional growth and development are very important to us! We offer internal training programs and courses, as well as a generous tuition reimbursement program. 6. We put diversity and inclusion into action with our Employee Resource Groups, which unite employees based on common perspectives, identities, demographic factors, or out of a desire to be an ally. GAF complies with federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR Services at 833-HR-XPERT. We believe our employees are our greatest resource. We offer competitive salary, benefits, 401k, and vacation packages for all full time permanent positions. We are proud to be an equal opportunity workplace and GAF, Standard Logistics, SGI, and Siplast are proud to be affirmative action employers. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know. If applying for positions in the U.S., must be eligible to work in the U.S. without need for employer sponsored visa (work permit). Privacy Policy (******************************************************************** **CA Privacy** Applicant Notice (****************************************************************************** With 130+ years in the industry, GAF is the leading roofing manufacturer in North America. As a member of the Standard Industries family of companies, we are also part of the largest roofing and waterproofing business in the world. Our communities help give our work meaning and the products we manufacture help protect what matters most. The shingles help to shelter the families living in the homes in our towns. The TPO helps protect what is under that hospital's roof. In addition to quality products, we make sure they are installed by quality craftsmen and women. The full GAF portfolio of solutions is supported by an extensive national network of factory-certified contractors. GAF continues to be the leader in quality and offers comprehensive warranty protection on its products and systems. Our success is driven by a commitment to empowering our people to deliver advanced quality and purposeful innovation and the desire to protect what matters most.

At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference. Are you interested in leveraging your data science skills to help derive data driven insights that are used to inform company strategy? Are you looking for a role that combines data science skills with an opportunity to gain big picture knowledge of NM's business? This is a compelling opportunity for an individual who thrives in a fast-paced and team-oriented environment where strong analytical skills, business acumen, and superior communication skills are critical. It is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm. The Team: The Strategic Intelligence team sits within Northwestern Mutual's Strategy function and is a provider of decision science and business analytics solutions partnering across the enterprise supporting strategic and financial decision-making using data and analytics. The team works on a large range of strategic, highly visible projects with internal clients including Client Experience, Marketing, Field/Distribution, and many others. Our team consists of data science and analytics professionals, with a strong interest in business & finance, creating and deriving analytical insights that transform the way we do business - balancing the art of decision making with science. Our work is often innovative and rapid (delivering solutions in weeks to a few months). What we build matters and has huge impact. The Opportunity: We are seeking data science professionals with experience in applying data visualization, decision analysis, and statistical modelling to real world business problems. This role is a mix of data science (statistical modeling), consulting (problem solving, client interaction) and leadership (leading the development and communication of insights and business implications). The ideal candidate stays abreast of new analytics technology but can recognize and apply the right techniques when the business challenge you are solving for is less complex. If you are motivated by combining statistics and data modeling skills with communication, analytical thinking and problem-solving skills needed to scope, develop, and deliver elegant solutions to complex problems, then this role is for you. Primary Duties & Responsibilities: Apply and integrate advanced statistical, mathematical, data mining, predictive modeling and business analysis skills and techniques to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide the tracking and measurement of results Identify available internal and external data resources to develop and deliver information solutions, including analytical information Apply creative problem solving and inter-departmental networking to address data and information needs across the enterprise. Share best practices with peers through coaching and mentoring around core methodologies, patterns, standards and processes. Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Through extensive analysis, discover technology improvement opportunities and will work with other teams to address these opportunities. Knowledge, Skills, Abilities: Master's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field At least 6 years of professional data science or analytics experience to include research and data analysis, experiment design and measurement, or application of statistical research techniques. 5+ years of experience building and deploying predictive models using open source tools (i.e. Python, R) Extensive experience working with data and developing, designing and presenting analytics, including some programming experience and work with multiple databases Expert level knowledge of advanced analytical model development and construction Proven ability to question assumptions, demonstrate relational analysis and integration of all components needed to solve problems Proven ability to build rapport, negotiate, gain the confidence and work successfully with business leaders across the company Proven ability to lead decision making process through idea sharing and consensus building Experience in coaching and mentoring staff members Proven track record in meeting aggressive deadlines Identifying data requirements for analytical needs PhD degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field preferred Cloud technology experience (i.e. GDP, Azure, AWS) preferred #LI-Hybrid Compensation Range: Pay Range - Start: $123,480.00 Pay Range - End: $229,320.00 Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the location. Please c lick here for additional information relating to location-based pay structures. Grow your career with a best-in-class company that puts our client's interests at the center of all we do. Get started now! We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law. If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

This is where you save and sustain lives At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You'll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients. Baxter's products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare. Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work. Join us at the intersection of saving and sustaining lives- where your purpose accelerates our mission. Your Role at Baxter: We are looking for a Data Scientist that can grow, tackle, drive, and build data products to support the Connected solutions portfolio within Baxter. Your Team: This role is a part of the Innovation, Strategy and Data science team within the Digital Platform and Innovation group responsible for bringing data science and machine learning ideas to life at Baxter What You'll Be Doing: Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences. Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services. Predictive and generative AI Modeling. Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems). Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights. Prepare data for effective model training. Develop, train, and evaluate predictive AI models using various tailored to specific problems. Continuously refine and optimize models for performance, scalability, and efficiency. Deploy models into production environments and supervise their performance. Identify opportunities where generative AI models can add value. Explore and experiment with generative models (e.g., GPT) suitable for the chosen application. Train and evaluate generative models, fine-tuning parameters for desired outputs. Integrate generative models into production workflows or applications. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Implements batch and real-time model scoring to drive actions. Develop sophisticated visualization of analysis output for various users. Determines the continuous improvement opportunities of current predictive modeling algorithms. Innovate and engage with key technology stakeholders to create a compelling vision of a data-driven enterprise environment and the impact it will have on their teams, their projects and their outcomes. What You'll Bring: Bachelor's Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field. 4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production. Software development experience. Experience with healthcare data and working in a HIPAA regulated environment preferred. Experience with varying database structures and large datasets preferred. Experience with modern data science tools; their primary stack is Spark, Scala, Python, Databricks, and more. Experience in Microsoft Azure cloud environment is preferred. Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau). Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers. Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables. Entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $104,000.00 to $143,000.00 annually. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits | Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

Recognized as a Milwaukee Journal Sentinel Top Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities. Job Summary Join our expanding data science team at West Bend and directly impact the profitability of a leading P&C insurer. As a Senior Data Scientist, you'll develop and deploy cutting-edge predictive models for Pricing, Underwriting and Claims, leveraging a modern cloud stack (Databricks, Snowflake, Azure). Collaborate with key stakeholders across the business and utilize your expertise in Python, R, SQL and other modern modeling tools to drive strategic decisions and shape the future of insurance analytics. This is your chance to lead high-impact initiatives and grow your career in a dynamic, data-driven environment. This position offers a hybrid work schedule. Candidates who are located within 50 miles of a West Bend office location will work a hybrid schedule (3 days in office) for collaboration days, team meetings or other in-person events. The position can be based in West Bend, Madison or Appleton. Responsibilities & Qualifications Responsible for analysis and modeling of P&C insurance business problems and discovering business insights using statistical, algorithmic, data-mining and visualization techniques. Contributes to organizational performance by providing senior leadership with insights and analysis for decision making. This includes developing and applying analytics, algorithms, or models to key business metrics with the goal of improving pricing accuracy, underwriting/claim efficiency, or answering other business questions. Translating business needs into analytics/reporting requirements to support executive decisions and workflows with required information. Document, present, and support predictive modeling work in a clear manner for business users or regulators to follow. Understands and prioritizes data and information requirements in the development of unique and ad-hoc analytical data. Identifies available internal and external data sources and develops and executes solutions to meet business needs. Collaborates with other business functions to turn high-level concepts into practical model solutions. Distributes best practices to analytics and product teams and provides consultations for their data-projects. Works with vendors to review/evaluate external data and models for potential use. Preferred Experience and Skills 6 years advanced analytics/predictive modeling experience with minimum 2 years in P&C insurance context. 3 years property/casualty insurance industry experience Familiarity with property and casualty insurance claim and underwriting data systems and processes Mastery of at least two statistical modeling languages (Python, R, SAS, Matlab, and etc.) Familiarity with MLOps with a machine learning platform (such as Akur8, Databricks, Dataiku, H2O, Amazon SageMaker etc) Experience manipulating large data sets, structured or unstructured, and cloud data using SQL, Spark, Python, or other scripting languages. Oral and written communication skills Interpersonal skills Inquisitive and self-motivated Preferred Education and Training Master's degree or equivalent experience in Statistics, Mathematics, Economics, Operations Research, Computer Science, or a related field P&C Insurance credential such as ACAS, FCAS, CSPA, and CPCU etc. Benefits West Bend offers a comprehensive benefit plan including but not limited to: Medical & Prescription Insurance Health Savings Account Dental Insurance Vision Insurance Short and Long Term Disability Flexible Spending Accounts Life and Accidental Death & Disability Accident and Critical Illness Insurance Employee Assistance Program 401(k) Plan with Company Match Pet Insurance

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

Recognized as a Milwaukee Journal Sentinel Top Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities. Job Summary Join our expanding data science team at West Bend and directly impact the profitability of a leading P&C insurer. As a Senior Data Scientist, you'll develop and deploy cutting-edge predictive models for Pricing, Underwriting and Claims, leveraging a modern cloud stack (Databricks, Snowflake, Azure). Collaborate with key stakeholders across the business and utilize your expertise in Python, R, SQL and other modern modeling tools to drive strategic decisions and shape the future of insurance analytics. This is your chance to lead high-impact initiatives and grow your career in a dynamic, data-driven environment. This position offers a hybrid work schedule. Candidates who are located within 50 miles of a West Bend office location will work a hybrid schedule (3 days in office) for collaboration days, team meetings or other in-person events. The position can be based in West Bend, Madison or Appleton. Responsibilities & Qualifications Responsible for analysis and modeling of P&C insurance business problems and discovering business insights using statistical, algorithmic, data-mining and visualization techniques. Contributes to organizational performance by providing senior leadership with insights and analysis for decision making. This includes developing and applying analytics, algorithms, or models to key business metrics with the goal of improving pricing accuracy, underwriting/claim efficiency, or answering other business questions. Translating business needs into analytics/reporting requirements to support executive decisions and workflows with required information. Document, present, and support predictive modeling work in a clear manner for business users or regulators to follow. Understands and prioritizes data and information requirements in the development of unique and ad-hoc analytical data. Identifies available internal and external data sources and develops and executes solutions to meet business needs. Collaborates with other business functions to turn high-level concepts into practical model solutions. Distributes best practices to analytics and product teams and provides consultations for their data-projects. Works with vendors to review/evaluate external data and models for potential use. Preferred Experience And Skills * 6 years advanced analytics/predictive modeling experience with minimum 2 years in P&C insurance context. * 3 years property/casualty insurance industry experience * Familiarity with property and casualty insurance claim and underwriting data systems and processes * Mastery of at least two statistical modeling languages (Python, R, SAS, Matlab, and etc.) * Familiarity with MLOps with a machine learning platform (such as Akur8, Databricks, Dataiku, H2O, Amazon SageMaker etc) * Experience manipulating large data sets, structured or unstructured, and cloud data using SQL, Spark, Python, or other scripting languages. * Oral and written communication skills * Interpersonal skills * Inquisitive and self-motivated Preferred Education And Training * Master's degree or equivalent experience in Statistics, Mathematics, Economics, Operations Research, Computer Science, or a related field * P&C Insurance credential such as ACAS, FCAS, CSPA, and CPCU etc. Benefits West Bend offers a comprehensive benefit plan including but not limited to : * Medical & Prescription Insurance * Health Savings Account * Dental Insurance * Vision Insurance * Short and Long Term Disability * Flexible Spending Accounts * Life and Accidental Death & Disability * Accident and Critical Illness Insurance * Employee Assistance Program * 401(k) Plan with Company Match * Pet Insurance * Paid Time Off . Standard first year PTO is 17 days , pro-rated based on month of hire. E nhance d PTO may be available for experienced candidates * Bonus eligible based on performance * West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.

The Data Scientist will be accountable for the Cooperative's data and data technologies. They are also accountable for the securing, planning, designing, data architecture, development, deployment, and maintenance of data intelligence deliverables for complex business operations. This role actively participates in Scrum ceremonies, aligning development efforts with Agile principles, and supports business decision-making by providing data integrity, security, and quality integrations in a timely manner. Essential Position Functions Provide data leadership to the team and company with a secured ‘cloud first' technology mindset. Actively participate in working sessions to help define system and security requirements pertaining to data-related systems within Agile iterations. Document business requirements associated with data integration projects/processes within Agile cycles. Guide activities around functional design, architectural design, test case design, and system testing to ensure all requirements are met. Manage project priorities, scope, deliverables, timelines, and execution within the Agile iterations and ceremonies. Define data and integration standards, ensuring HIPAA standards are followed. Research and implement solutions for government-mandated rules related to Patient Access, Interoperability, Transparency, EDGE reporting, etc. Assist in the identification, evaluation, and implementation of vendor-supplied systems. Assure quality, reliability, and security in all solutions, aligning with the agreed DevOps approach. Assist with the development and maintenance of IT-related policies and procedures on a yearly basis. Provide staff orientation training and development. Define and implement data security standards for the organization. This includes but is not limited to deidentification of data for non-production environments, active directory security standards, and data design patterns which obfuscate PHI data while maintaining data efficacy. Minimum Requirements of the Position Bachelor's degree in Computer Science, Information Technology, or a related degree. Three years of experience and expertise building database solutions that are designed to support multiple workloads built with SQL Server on-premises and Azure SQL services and can manage the operational aspects of cloud-native and hybrid data platform solutions. Five years of experience using SQL and Microsoft SQL Server Integration Services (SSIS), experience with Microsoft SSAS, SSRS, Power BI, Visual Studio, and DevOps, knowledge of RDBMS principles and database design, experience designing and implementing a data warehouse. Knowledge of best practices related to data security, experience with HL7, EDI, or FHIR standards, excellent project management skills, knowledge of Agile principles and methodology. Prior experience in healthcare or the health insurance industry preferred, prior supervisory experience preferred, securing data in production environments while providing de-identifiable information to lower development environments, experience with deployment, and data replication in a multi-stage environment. Certification Requirements Although it is not realistic for every candidate to carry all listed certifications, it is expected that the employee/candidate be certified in Scrum and credentialed in at least two of the Azure certifications listed below. It is also acceptable to suggest and achieve equal alternative certifications. Scrum Certification: Within 60 days of employment obtain Professional Scrum Master (PSM I) and/or within 180 days of employment obtain the Certified Scrum Developer (PSD I/II) to demonstrate proficiency in Scrum principles and practices. Azure Certifications: DP-100 Microsoft Azure Data Scientist Associate (required with 6 months) AZ-900 Microsoft Certified Azure Fundamentals (preferred) DP-300 Administering Azure SQL Solutions (preferred) DP-900 Microsoft Azure Data Fundamentals (preferred) PL-300 PowerBI Data Analyst (preferred) DP-203 Azure Data Factory (preferred) Group Health Cooperative of Eau Claire complies with applicable Federal civil rights laws and does not discriminate, exclude or treat candidates less favorably on the basis of race, color, national origin (including limited English proficiency and primary language), age, disability, or sex (including sex characteristics, including intersex traits; pregnancy or related conditions; sexual orientation; gender identity; and sex stereotypes). The Cooperative is committed to fostering a caring and compassionate environment while ensuring that individual differences are valued. The Cooperative is a quality driven cooperative built on collaboration, community involvement, innovation, and belonging. It is essential that all employees and members feel secure and welcome, that the opinions and contributions of all individuals are respected and that all voices are heard. This full time position offers an outstanding benefit package, including three weeks of vacation the first year, a generous retirement plan, health and dental insurance, a wellness program, and much more! If you are interested in working for an organization focused on a team atmosphere and is dedicated to providing exceptional service submit your resume today! Send resume to: ************************. Group Health Cooperative of Eau Claire is an affirmative action and equal opportunity employer.

The Data and Analytics Solution Architect will be a key leader in shaping our organization's data strategy and infrastructure. The ideal candidate will be responsible for the overall vision, design, and implementation plan of a data architecture that enables and empowers our business to meet and exceed their goals. This role requires a deep understanding of data management, data integration, and data governance, as well as the ability to collaborate with cross-functional teams to drive data-driven decision-making. Responsibilities: - Designs and helps implement robust, cost-effective data architecture solutions that align with business objectives and technical requirements. - Implements data integration processes to ensure seamless data flow across various systems and platforms. - Develops and maintains processes for data modeling, data dictionaries, and metadata management. - Contributes to and improves data governance processes that ensure increasing maturing in data quality, integrity, and security. - Collaborates with infrastructure engineers, data engineers, data scientists, and business stakeholders to understand data requirements and translates them into technical solutions. - Contributes to the selection and implementation of appropriate data governance and security practices to ensure data privacy and compliance. - Monitors and optimizes the performance of the cloud data infrastructure. - Drives innovation with latest cloud data technologies and trends. - Documents and communicates complex technical concepts to both technical and non-technical audiences. - Performs other related duties as required and assigned. Skills Architecture, Solution architecture, Cloud, data, azure, enterprise architecture, big data analytics, data visualization, problem solving, python, sql, machine learning, gcp, Databricks Top Skills Details Architecture,Solution architecture,Cloud,data,azure,enterprise architecture,big data analytics,data visualization,problem solving,python,sql,machine learning Additional Skills & Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience: 5+ years of experience in a Data Architect, Sr. Engineering, or other related role, preferably within the electrical contracting or energy sector, with a strong knowledge of database management systems (DBMS), data warehousing, and data integration tools. Skills: - Proficiency in SQL, NoSQL, and other database query languages. - Proficiency in Python, R, or Scala. - Demonstrated experience with cloud-based data solutions (e.g., Azure, Google Cloud, Snowflake, Databricks). - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills. - Experience with big data technologies (e.g., Hadoop, Spark) preferred. - Knowledge of data visualization tools (e.g., Tableau, Power BI) preferred. - Demonstrated experience with machine learning and AI preferred. Pay and Benefits The pay range for this position is $60.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision- Critical Illness, Accident, and Hospital- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available- Life Insurance (Voluntary Life & AD&D for the employee and dependents)- Short and long-term disability- Health Spending Account (HSA)- Transportation benefits- Employee Assistance Program- Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Menasha,WI. Application Deadline This position is anticipated to close on Mar 25, 2025. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

We are seeking a Platform Engineer with a strong focus on supporting and optimizing data platforms. This individual will play a key role in designing, building, and maintaining CI/CD pipelines, automated testing frameworks, and various tools to support data systems. The ideal candidate will have hands-on experience with ETL pipelines, data engineering processes, and platforms like Snowflake and FiveTran, and a keen understanding of how data flows through these systems. A self-starter with strong communication skills who thrives in a mid-sized environment will be an excellent fit for this role. Key Responsibilities: * CI/CD Pipeline Creation and Maintenance: * Design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines for data-related projects. * Automate data deployment processes to ensure smooth and efficient updates across environments. * Integrate automated testing frameworks into the CI/CD pipelines to ensure high-quality code delivery. * Development of Tools to Support Data Systems: * Build and maintain custom tools that support data infrastructure, including those that assist with data processing, monitoring, and reporting. * Develop and optimize automated workflows and frameworks to improve the reliability and scalability of data platforms. * ETL Pipeline Understanding and Optimization: * Develop, implement, and maintain ETL pipelines, ensuring smooth data flow through the various stages. * Troubleshoot and optimize ETL processes, identifying potential bottlenecks, inefficiencies, and errors. * Understand the interdependencies between data systems, ensuring that ETL pipelines are well integrated with other tools and platforms. * Experience with Snowflake and FiveTran: * Design and optimize Snowflake data warehouses to ensure efficient data storage, querying, and scaling. * Work with FiveTran for data integration, ensuring that data flows seamlessly between systems and is available for analytics and reporting. * Develop and maintain integration processes that utilize Snowflake and FiveTran. * Collaboration and Communication: * Collaborate with cross-functional teams, including data engineers, analysts, and DevOps, to ensure alignment and successful implementation of data solutions. * Provide support and guidance to internal teams on best practices for working with data platforms and tools. * Communicate technical concepts and progress to both technical and non-technical stakeholders effectively. * Problem Solving and Automation: * Continuously monitor and improve the reliability of the data infrastructure, identifying areas for automation and improvement. * Proactively address potential issues with data flow, pipeline performance, and tool functionality. Qualifications: * Proven experience as a Platform Engineer or Data Engineer with a strong focus on CI/CD pipelines, automated testing, and data tools. * In-depth experience with ETL pipeline development and optimization. * Strong experience with Snowflake and FiveTran, including architecture design, data loading, and optimization best practices. * Familiarity with common data engineering tools and frameworks. * Excellent problem-solving skills with the ability to troubleshoot and optimize complex data systems. * Self-starter with the ability to work independently and take ownership of projects. * Strong communication skills, both written and verbal, with the ability to collaborate effectively in a mid-sized team environment. * Experience in a fast-paced environment with a focus on delivering results. * Familiarity with cloud-based data platforms (AWS, Azure, GCP) is a plus.