Data Scientist Jobs in Saint Paul, MN

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $135,700.00 - $223,900.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies. Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment. Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate. Collaborate across team to support delivery and educate end users on complex data products/analytic environment. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor's Degree in STEM related field or equivalent Ten years of related experience Python, PySpark, AWS, Lambda is desirable. Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices. Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems. Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers. Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize. Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas. Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members. What is a Must Have? Bachelor's degree or equivalent training with data tools, techniques, and manipulation. Five years of data engineering or equivalent experience. What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ********************************************************* 0

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.

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.

About Blue Cross and Blue Shield of Minnesota At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming health care. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us. The Impact You Will Have This position works across the Enterprise to identify areas of opportunities to create process efficiencies, innovate and provide value using advanced analytics and data science. The position will manage complex data and information to provide meaningful results, which influence strategic decision-making at Blue Cross. Responsibilities include understanding complex business requirements, data management and stewardship for a variety of complex data sources, data analysis and the application of advanced analytical techniques, such as building generative and predictive models to create value for the organization. Your Responsibilities Lead data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation. Act as a mentor to junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation. Work with autonomy with business partners to convert ambiguous business problems in clear data science/AI/ML specifications - Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations. Work hand-in-hand with product managers, AI engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production and monitor them going forward. Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model. Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership. Required Skills & Experience 7+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered. Hands-on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning). Advanced proficiency in data science tools such as Python, R, Spark, SQL. Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data. Strong communication skills and ability to deliver highly technical results to a diverse audience. Ability to mentor junior data scientists and lead projects from end-to-end. Preferred Skills and Experience Master's or Ph.D. degree Experience with health care data Experience with AWS/Azure tools Experience with version control (for example Git Version Control system) Experience with Generative AI (text/vision) modeling and evaluation Role DesignationHybrid Role designation definition: Teleworking is working full time remote. Hybrid is a combination of working onsite and remotely. Onsite is full-time onsite. Compensation and Benefits$100,000.00 - $135,000.00 - $170,000.00 Annual Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job. We offer a comprehensive benefits package which may include: Medical, dental, and vision insurance Life insurance 401k Paid Time Off (PTO) Volunteer Paid Time Off (VPTO) And more To discover more about what we have to offer, please review our benefits page. Equal Employment Opportunity Statement Blue Cross is an Equal Opportunity and Affirmative Action employer that values diversity. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, color, creed, religion, sex, national origin, genetic information, marital status, status with regard to public assistance, disability, age, veteran status, sexual orientation, gender identity, gender expression, or any other legally protected characteristic. Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to **********************************. All roles require a high school diploma (or equivalency) and legal authorization to work in the U.S. Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association.

Reporting to the Vice President of Analytics, the Data Scientist helps collect and analyze data that allows us to create winning strategies for our customers to optimize their marketing spends and make informed decisions. The Data Scientist is a hybrid technical/consultative role that requires hands-on experience in advanced data manipulation and analysis techniques, combined with the ability to effectively communicate the results to a non-technical audience. This is a hybrid, contract position and candidates must be in the Greater Minneapolis/St. Paul area. Primary Duties/Responsibilities: Interact in a dynamic, team-based work environment to achieve company goals, exceed management expectations and develop analytic and interpersonal skills. Maintain general knowledge of marketing and relevant business practices of our clients and the categories in which they compete. Provide tactical marketing and analytic support to clients including: extensive customer profiling, segmentation, customer lifetime value analysis, response and attrition modeling, customer and business trend analysis, and in-depth campaign performance assessment. Summarize analytic data into user-friendly reports translating highly technical, detailed data into appropriate recommendations for marketing execution. Adhere to department best practices and procedures regarding data security, project management, and client deliverables. Build and maintain the internal and cross functional relationships necessary to achieve ongoing and transparent communication, collaboration and ensure the success of the team. Perform other (or other related) duties as applicable or assigned. Required Skills/Abilities/Competencies: Strong business acumen and entrepreneurial mindset. Strong grasp of marketing concepts and theory. Demonstrated ability to work both independently and as part of a team. Demonstrated communication skills (both written and oral). Demonstrated SQL and Python programming skills. Experience with Alteryx and Tableau preferred. Great analytical, critical thinking and problem-solving abilities. Proven ability to quality deliver results in high stress situations. Problem solver with excellent follow-up skills. Team player with excellent communication skills including the ability to develop relationships. Proficiency in MS Office, especially Word, PowerPoint, Excel and Project. Education and Experience: Bachelor's degree in data science, statistics, computer science, mathematics, economics or equivalent quantitative field, or equivalent combination of education and experience. Knowledge and/or applied experience in multivariate statistics including multiple regression, logit, survival data analysis, experimental test design and optimization techniques. 2+ years of relevant work experience preferred. Knowledge of multi-channel marketing and related deployment methodologies plus. Physical Requirements: Ability to work 8 hours consecutively. Prolonged periods of sitting at a desk and working on a computer. Compensation: $50/hour. This is an hourly position. As a 1099 Contractor, this role is not eligible for benefits, including but not limited to Paid Time Off and medical coverage.

Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth. Create machine learning solutions for a diverse set of business problems. Employ structured approaches to leveraging large data sets to uncover new insights. Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. Present and defend results to leadership audiences, both technical and non-technical. Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally. Tech Stack SQL Python Jupyter Notebook (Optional) R script Experience & Qualifications Passion in modern technology and ability to work in a start-up environment. Efficient on Jupyter Notebook Good mathematic and algorithm background Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues. Highly organized individual with attention to detail and excellent ability to execute on deliverables.

ABOUT Healthcare is seeking a skilled and innovative Data Scientist to help expand our predictive analytics capabilities and advance our mission to revolutionize hospital operations. This role will work at the intersection of AI/ML, healthcare, and operations to develop and scale machine learning models that deliver actionable insights to hospitals. ESSENTIAL FUNCTIONS: This class specification lists the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform job-related duties other than those contained in this document and may be required to have specific job-related knowledge and skills. Predictive Analytics Development: Build and refine machine learning models for hourly discharge forecasting, aggregate hospital admission/discharge predictions, and patient-level progress tracking. Data Exploration: Analyze complex healthcare datasets to identify trends, challenges, and actionable opportunities. Model Deployment: Collaborate with engineers to deploy AI/ML solutions into production, ensuring reliability and scalability. Collaboration: Partner with product managers, operations teams, and customers to define and implement data-driven features and metrics. Feature Engineering: Work with AWS infrastructure (S3, Glue, Athena, Timestream, Bedrock, Nova, SageMaker) to standardize data pipelines and enrich machine learning models. Continuous Improvement: Optimize model accuracy and efficiency through testing, monitoring, and iteration. Documentation and Communication: Present technical findings and recommendations to stakeholders in an easily understandable way. LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning. Full Stack: Capable as a full-stack engineer, seeing LLM implementations from concept to production. Perform other duties as assigned. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Need to Have: Bachelor's in data science, Computer Science, Statistics, or related field (or equivalent experience). 1+ years of experience developing and deploying machine learning models in production. Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sage Maker). Strong analytical skills and ability to interpret complex datasets. Knowledge of ETL processes, feature engineering, and real-time forecasting methods. Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. Nice to Have: Experience in healthcare data analytics or hospital operations. Familiarity with EHR/EMR data or healthcare interoperability standards. Knowledge of time-series modeling and ensemble methods. Exposure to data visualization tools (e.g., Tableau, Power BI). Understanding of Agile methodologies and collaborative software development. Required Knowledge and Skills Required Knowledge: Correct business English, including spelling, grammar and punctuation. Medical Terminology Health system operating and working models Business planning and development Required Skills: Using initiative and independent judgment within established department guidelines. Contributing effectively to the accomplishment of team or work unit goals, objectives and activities. Establishing and maintaining effective working relationships with a variety of individuals. PHYSICAL/MENTAL REQUIREMENTS: The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Mobility to work in an office setting, use standard office equipment and stamina to sit for extended periods of time; strength to lift and carry up to 10 pounds; vision to read printed materials and computer screens; and hearing and speech to communicate in person or over the telephone. Travel as needed to support company and customer initiatives. Work on Site at our St Paul office may be required and ABOUT reserves the right to change the location of the role at any time. This role may involve work on federal government contracts that require additional federal background investigations, training, and federal badging. As such, you may be required to submit personal information to the government and be fingerprinted and photographed at your local Department of Veteran Affairs Medical Center. ABOUT is also an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. ABOUT offers a flexible, purpose-built solution that empowers hospitals and health systems to operate as one connected network of care. We enable easy access for clinicians to move patients into and out of the acute care setting - getting them to the next, best care setting faster and easier. Complemented by our clinical experts and best practices, we provide health systems the necessary controls and insights to grow with resilience, drive clinician effectiveness, and improve patient outcomes. __________________________________________________________________________________________________________________________________

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.

Experience more with a career at COUNTRY Financial! We're excited you're interested in a career at COUNTRY as we strive toward our vision - to enrich lives in the communities we serve. Our footprint spans coast to coast. But more important than where we operate, is the people who do the work. Apply today to help our organization grow and make a difference for our clients. About the role Works with risk owners and senior management to identify, assess, and report all significant risks across the enterprise, including the Property/Casualty companies and Life/Health companies. Develops basic to very complex actuarial models leading to the recommendation of extensive and impactful strategies for managing the organization's risks. Creates and utilizes actuarial models and knowledge to consult and influence management towards courses of action that have impact on risk management, product/pricing, profitability, and markets. Is typically actively working towards or has attained actuarial designations through the Casualty Actuarial Society or Society of Actuaries. How does this role make an impact? * Builds actuarial assumptions and models using a variety of tools, including actuarial modeling software, data visualization applications, programming languages and Microsoft Office applications. - Works with risk owners and senior management to identify, assess, and report all significant risks across the enterprise. - Prepares and presents reports to Executive Management and business partners, including results of actuarial models, risk assessments, and risk metrics. - Pursues a Casualty Actuarial Society or Society of Actuaries designation at least through Associate of the Casualty Actuarial Society (ACAS), Associate of the Society of Actuaries (ASA), or Chartered Enterprise Risk Analyst (CERA) level. Maintains appropriate continuing education credit to maintain actuarial credentials. Do you have what we're looking for? Typically requires 4+ years of relevant experience or a combination of related experience, education and training. Most incumbents will have completed 3 - 5 exams/online courses. Base Pay Range: $88,800-$122,100 The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience. Incentive Pay: In addition to base salary, this position is eligible for a Short-Term Incentive plan. Why work with us? Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We're a big company, yet small enough you can make an impact and won't get lost in the shuffle. You'll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business. You'll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match. COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations. Come join our team at COUNTRY today!

Best Buy's Advanced Analytics team is responsible for elevating our highest-stake, largest-impact decisions with advanced analytic insights and solutions. As a Senior Data Scientist, you will drive changes for the Reverse Supply Chain and Category Pricing business teams. Your role impacts customers and adds value through innovative data capabilities and insights to optimize processes and strategies. We seek candidates with experience to solve problems in return analytics, pricing, forecasting, and operations. A strong candidate will have a background in a diverse range of data science and optimization research techniques and a strong understanding of its application in the retail industry. This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or other non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process. For this role, you must be located within a drivable distance to our office in Richfield, Minnesota What you'll do * Source, interpret, and transform operational and transactional data into valuable analytical insights that inform pricing decisions and reverse logistics. * Develop and enhance Best Buy's pricing optimization strategies, focusing on maximizing profitability and customer satisfaction. * Utilize your expertise in predictive modeling to forecast trends and optimize pricing strategies, ensuring competitive positioning in the market. * Leverage returns analytics to identify patterns and insights that drive improvements in the reverse supply chain. * Craft and deliver compelling presentations to stakeholders, effectively communicating findings and recommendations related to pricing and return analytics. * Collaborate with data engineers to design and implement scalable data pipelines and infrastructure for advanced analytics in pricing and reverse supply chain management. * Serve as a trusted advisor to pricing, secondary market, and return operations teams, partnering to drive common outcomes and enhance business performance. * Explore and experiment with emerging technologies and methodologies in data science to continuously enhance the capabilities of the pricing and reverse supply chain analytics teams. * Lead teams in formulating, researching, and solving business-critical problems in pricing and reverse supply chain management. Basic Qualifications * Bachelor's degree from accredited college/university in mathematics, statistics, economics, computer science, or related STEM field * 4 years of applied or industry experience in data science and/or a quantitative field * 2 years of hands-on experience in pricing optimization, demand forecasting, segmentation and/or advanced machine learning and statistical methods (i.e., data analysis, statistics, operations research, and/or machine learning) with application to business problems * 4 years of hands-on experience using data analytics and optimization tools (i.e., SQL, Python, R, Groubi, Vertex AI) * 2 years hands-on experience working on large structured and unstructured data environments * 2 years of experience developing and deploying scalable machine learning models in production using GCP, Azure or AWS Preferred Qualifications * Master's or PhD in Operations Research, Industrial Engineering, Mathematics, Statistics, Economics, Computer Science, or related STEM field * 2 years of experience in retail industry, focused on the use of pricing, and predictive models * Knowledge of Machine Learning / Deep Learning, including Python libraries (TensorFlow, PyTorch, etc.) * Experience working with globally distributed team What is in it for you We are committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially at key moments in your life. Our benefits include: * Competitive pay and PTO package * Generous employee discount * Physical and mental well-being support * Robust benefit package About us As part of the Best Buy team, you will help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We are committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here. Best Buy is an equal opportunity employer. Auto Req. ID972046BR Location Number 900010 Corporate 1 MN Address 7601 Penn Avenue South$104142 - $186558 /yr Pay Range $104142 - $186558 /yr

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **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:** 4/18/2025 *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. _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 (***************************************************************************************************************************

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure living spaces through the power of IoT-connected devices. As a Senior Data Scientist on our Home Analytics team, you'll play a pivotal role in extracting actionable insights from complex time-series data, making a direct impact on the comfort and safety of homes worldwide. As part of this initiative, we are looking for a Senior Data Scientist to help lead our LifeWhere product through the adoption of state-of-the-art ML methods that improve monitoring accuracy while delivering metrics and intelligence for program operation at scale. You will collaborate with a team of experts to develop predictive models and algorithms that drive innovation in connected home IoT devices. Success in this role comes from marrying a strong data science background with product and business acumen to deliver scalable data products to our internal and external customers. JOB DUTIES: Analyze and interpret complex time series data from connected HVAC systems to build cutting-edge metrics of HVAC performance, generate insights, and create value for our network of pros and homeowners using our IoT solution Develop methodologies and experiments to continuously improve predictive and machine learning algorithms Help develop end-to-end process machine learning solutions to support program growth and expansion goals Working with cross-functional teams, including Product Managers and Software Engineers, identify critical business problems and develop solutions to support data-driven business decisions Work to democratize data by building and socializing decision tools (e.g., reports, data products, dashboards) YOU MUST HAVE: 8+ years of related industry experience Experience using Python, R, etc. working with (preferably) time-series data to support data analysis, visualization, exploratory data analysis, feature generation, and model fitting (in addition to other common analysis activities common to machine learning) Expert in at least one programming language for data analysis (e.g., Python, R), experience with SQL a plus Strong foundational knowledge in project management with the ability to work in a fast-paced, high-visibility environment Industry experience with developing and applying machine learning and statistical modeling in at least one of the following categories: Anomaly detection, Image processing (e.g. convolutional neural networks, auto-encoders), or time-series methods WE VALUE: Experience working with Apache Spark (preferably PySpark) Familiarity with modern ML frameworks and libraries including, deep-learning (e.g., TensorFlow, Keras, or PyTorch), Scikit-learn, Numpy, Pandas, and MLFlow. Experience with HVAC systems or related industrial applications Knowledge and experience with Databricks, Jupyter notebooks, Git, AWS or Azure cloud environments Detail oriented and willing to learn new skills and tools Experience working with cross-functional teams and an ability to communicate clearly and effectively to technical and non-technical audiences A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning. WHAT'S IN IT FOR YOU: Life and health insurance Life assistance program Tuition Reimbursement Retirement plan (Immediate eligibility for 401K) Vacation & holidays (Enjoy work-life balance) #LI-EP1 #LI-Hybrid

Ameriprise Financial has an exciting opportunity for a Staff Actuary to join our team! This person will be responsible for developing, improving, operating, and documenting a variety of complex actuarial models. You will perform actuarial, financial, and risk analysis, including communication of results to others across the company. Additionally, you will serve as the subject matter expert in assigned projects and may have an expanded scope and responsibility within a project. Key Responsibilities Major contributor on the team responsible for the Insurance Statutory reserve for the company. This includes calculating, analyzing, and communicating results effectively to leaders and peers across various functional groups. Heavily involved in maintaining and improving Insurance Stat reserve models through improvement of quarterly processes and creation of analytical tools. Assist and help drive various projects, including year-end memorandum updates, annual assumption update exercise, etc. Build and present exhibits that assist with quarter-end and year-end reporting of Principle-Based Reserving (PBR) and non-PBR insurance business. Professional development to maintain Actuarial credentials. May provide people leadership to lower-level actuarial staff and/or actuarial intern(s). Required Qualifications All Introductory ASA exams plus 3 Actuarial/Advanced ASA Exams or Requirements Validation by Educational Experience (VEE) coursework completion Bachelor's degree or equivalent (4-years) in Actuarial Science, Mathematics, Statistics, Data Science, or related fields. 5-7 years of relevant experience, 4+ years of actuarial experience Positive relationship and communication skills in working with colleagues. Strong analytical, quantitative, and problem-solving skills Preferred Qualifications Experience with MS Excel, MS Access, Prophet, Python, and SQL Server. Thought leadership and ability to take high-level ideas to create the new and different. About Our Company We're a diversified financial services leader with more than $1 trillion in assets under management and administration as of 2022. Our team of 20,000 people in more than 20 countries, advise and manage assets and income of more than 2 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $104,900 - $141,600/ year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Finance Line of Business FIN Finance

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $106,300.00 - $175,400.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions. Design data solutions. Analyze sources to determine value and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on data products/analytic environment. Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor's Degree in STEM related field or equivalent Six years of related experience Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions. Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on. Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems. Strong verbal and written communication skills with the ability to interact with team members and business partners. Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities. What is a Must Have? Bachelor's degree or equivalent training with data tools, techniques, and manipulation. Four years of data engineering or equivalent experience. What Is in It for You? Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ********************************************************* 0

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, 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 product 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, Product Analytics 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. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/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.

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 (***************************************************************************************************************************

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

Best Buy's Advanced Analytics team is responsible for elevating our highest-stake, largest-impact decisions with advanced analytic insights and solutions. As a Senior Data Scientist, you will drive changes for the Reverse Supply Chain and Category Pricing business teams. Your role impacts customers and adds value through innovative data capabilities and insights to optimize processes and strategies. We seek candidates with experience to solve problems in return analytics, pricing, forecasting, and operations. A strong candidate will have a background in a diverse range of data science and optimization research techniques and a strong understanding of its application in the retail industry. This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or other non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process. For this role, you must be located within a drivable distance to our office in Richfield, Minnesota What you'll do Source, interpret, and transform operational and transactional data into valuable analytical insights that inform pricing decisions and reverse logistics. Develop and enhance Best Buy's pricing optimization strategies, focusing on maximizing profitability and customer satisfaction. Utilize your expertise in predictive modeling to forecast trends and optimize pricing strategies, ensuring competitive positioning in the market. Leverage returns analytics to identify patterns and insights that drive improvements in the reverse supply chain. Craft and deliver compelling presentations to stakeholders, effectively communicating findings and recommendations related to pricing and return analytics. Collaborate with data engineers to design and implement scalable data pipelines and infrastructure for advanced analytics in pricing and reverse supply chain management. Serve as a trusted advisor to pricing, secondary market, and return operations teams, partnering to drive common outcomes and enhance business performance. Explore and experiment with emerging technologies and methodologies in data science to continuously enhance the capabilities of the pricing and reverse supply chain analytics teams. Lead teams in formulating, researching, and solving business-critical problems in pricing and reverse supply chain management. Basic Qualifications Bachelor's degree from accredited college/university in mathematics, statistics, economics, computer science, or related STEM field 4 years of applied or industry experience in data science and/or a quantitative field 2 years of hands-on experience in pricing optimization, demand forecasting, segmentation and/or advanced machine learning and statistical methods (i.e., data analysis, statistics, operations research, and/or machine learning) with application to business problems 4 years of hands-on experience using data analytics and optimization tools (i.e., SQL, Python, R, Groubi, Vertex AI) 2 years hands-on experience working on large structured and unstructured data environments 2 years of experience developing and deploying scalable machine learning models in production using GCP, Azure or AWS Preferred Qualifications Master's or PhD in Operations Research, Industrial Engineering, Mathematics, Statistics, Economics, Computer Science, or related STEM field 2 years of experience in retail industry, focused on the use of pricing, and predictive models Knowledge of Machine Learning / Deep Learning, including Python libraries (TensorFlow, PyTorch, etc.) Experience working with globally distributed team What is in it for you We are committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially at key moments in your life. Our benefits include: Competitive pay and PTO package Generous employee discount Physical and mental well-being support Robust benefit package About us As part of the Best Buy team, you will help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We are committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here. ™ Best Buy is an equal opportunity employer.