Data Scientist Jobs in Springfield, OR

Must Haves: 3-5 years of experience within data analytics Strong experience with Python and SQL Experience with Tableau or Power BI Experience with stakeholder management Ability to work between technical and non-technical teams Plusses: Willingness to learn data bricks Day to day: Every month create a new forecast Gathering input from stakeholders - what are the planned levers in the network, understand business changes, etc Working back with offshore data science team to review outputs and do checks on it as they will build it Once forecast is released, answering q's for the stakeholders, creating read outs for leadership, etc other ad hoc projects

We are seeking a skilled Data Analyst to support and build data products within the Marketplace Supply Chain domain. The ideal candidate will have strong analytical skills, experience in SQL, data modeling, and stakeholder management, and the ability to drive insights from complex datasets. Prior experience with clients Supply Chain and SAP S4 modules (Supply & Demand, Transportation) is highly preferred. Key Responsibilities: Data Analysis & Insights Analyze complex business problems using data from internal and external sources. Identify and interpret trends and patterns to inform business strategy. Use data mining and statistical analysis to extract insights and identify correlations. Data Product Development & Reporting Develop forecasts, recommendations, and strategic plans based on business data. Create Source to Target Mapping (STM) for data products, reports, and analysis. Develop SQL queries and data visualizations for ad-hoc analysis and reporting needs. Validate key performance indicators (KPIs) and build queries to measure performance. Stakeholder Collaboration & Communication Work closely with stakeholders to understand requirements and develop sustainable data products. Document and communicate system and analytics changes in a business-friendly manner. Data Governance & Quality Assurance Develop data governance standards from data ingestion to product dictionaries and documentation. Monitor data quality and provide recommendations for removing corrupt data. Ensure data integrity, unit testing, and quality control in reporting and analysis. Requirements: Technical & Analytical Skills Strong analytical and problem-solving abilities. Proficiency in SQL and data visualization tools (Power BI, Tableau, etc.). Experience with data modeling techniques and building models. Knowledge of data mining, statistical analysis, and high-volume data processing. Business & Communication Skills Ability to translate complex data insights into business-relevant language. Strong stakeholder management and ability to work independently. Experience in documenting business and system changes effectively. Preferred Qualifications: Experience with data product development and data architecture. Prior experience with client's supply chain operations. Knowledge of SAP S4 modules (Supply & Demand, Transportation). Familiarity with big data technologies and high-volume data processing. Certification in data analysis or Databricks is a plus. About Brickred Systems: Brickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence. With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

An exciting opportunity has just opened up for a Senior Actuary Analyst with a well-respected Health Plan Provider! This opportunity is for candidates residing in California, Washington, or Oregon. The Senior Actuary Analyst will work remotely from California, Washington, or Oregon and will be responsible for developing actuarial models for data analytics for the Health Plan as well as producing pricing, deliverables, and forecasting. The Senior Actuary Analyst will serve as a liaison between departments and will maintain relationships with leaders across the organization. The Senior Actuary Analyst will serve as a mentor for department team members and will assist the Department Manager with providing training and education to new and current staff members. Qualified candidates will have the following qualifications: Must reside in Washington, Oregon, or California Strong understanding of Medicare Advantage, 2+ years of Medicare Bid experience Must be a Fellow or Associate in the Society of Actuaries 5 years of Actuary experience Bachelor s Degree in a related field such as Statistics, Mathematics, or Actuarial studies The Senior Actuary Analyst will be offered a competitive salary and generous benefits package. This is an excellent opportunity to join an award-winning hospital and make a difference in both the hospital and the community you ll serve.

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

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.

Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Builds "products" for Analysis. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Lead to the accomplishment of key goals across consumer and commercial analytics functions. Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language. Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers. Develop data governance standards from data ingestion to product dictionaries and documentation. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax. Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows. Build and deliver scalable data and analytics solutions. Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

Looking for an extremely bright and budding Data Scientist who can work closely with a solid Engineering core team KEY RESPONSIBILITIES Provide data-based solutions of core problems with the help of AI and Machine Learning tools. Take ownership of building data modelling pipelines for scalable and continuous systems. Closely monitor and provide expertise on creating industry best Data Science curriculum and creating exciting project problem statements KEY SKILLS Sharp problem-solving skills with urgency to deliver best quality products along with an alignment with long-term vision of the company Very good hands-on with python and SQL (postgresql) Good working knowledge of backend development in REST Frameworks (Django) Good knowledge and hands-on with different Machine Learning tools and modelling frameworks (Pandas, Keras/Tensorflow, scikit learn, NLP) Excellent inter-personal skills to communicate and present ideas to different verticals and stakeholders. Good written and communication skills. Working knowledge of Data pipeline and data-science model deployment Bonus Points: * Ability to write great documentations Ability to make data driven decisions for any small thing Our Way Of Working * An opportunity to work on something that really matters. A fast-paced environment to learn and grow. High transparency in decision making. High autonomy; freedom to take risks, to experiment, and to fail. We promise a meaningful journey with smart people, with opportunities to learn & grow. Plus, you can sleep peacefully knowing you are impacting lives in a big way, every day!

We are looking for an experienced and innovative Data Scientist to join our team. In this role, you will apply advanced statistical and machine learning techniques to solve complex business problems and derive insights from large datasets. The ideal candidate will have a strong foundation in data science, programming, and data visualization, and a passion for making data-driven decisions that drive business success. Key Responsibilities: Develop and implement machine learning models to solve business problems. Perform exploratory data analysis (EDA) to identify trends, correlations, and actionable insights. Create predictive models and algorithms using statistical and machine learning techniques. Design and maintain data pipelines and workflows to ensure efficient data processing. Optimize models and algorithms for improved performance and scalability. Continuously monitor and refine models to ensure accuracy and relevance over time. Qualifications: Bachelor's or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proven experience in data science, with a strong understanding of machine learning, statistics, and data analysis techniques. Proficiency in programming languages such as Python, R, or similar. Strong knowledge of SQL and database management. Experience building and deploying machine learning models in production environments. Excellent problem-solving skills and ability to work independently or as part of a team. Excellent communication skills with the ability to present complex data insights to stakeholders. Eligibility Requirements: To be considered for this role, applicants must be able to provide proof of U.S. citizenship as a condition of employment. Eligible to work across all U.S. states without the need for employer sponsorship. Ability to work independently and as part of a team. If you are passionate about data science, love tackling complex challenges, and want to contribute to impactful, data driven solutions, we encourage you to apply. How to Apply: Please submit your resume and a cover letter highlighting your experience and motivation for applying. We look forward to hearing from you

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. **Role Summary** We're seeking a Senior Product Data Scientist to join Splunk's PX Data Strategy team. In this strategic and hands-on role, you will spearhead advanced analytics initiatives and play a crucial part in refining our data and measurement strategy. With your expertise in forecasting, modeling, regression, and clickstream analysis, you will transform complex data sets into actionable insights that drive data-driven decisions, enhance product performance, and elevate customer experiences. **What You'll Get To Do** + Lead Advanced Analytics Initiatives: Conduct clickstream analysis, forecasting, and predictive modeling to gain insights into user behavior and optimize user journeys. Utilize inferential statistics, including regression analysis, to drive strategic improvements in product performance. + Develop and Optimize Feedback Mechanisms: Create and refine in-app feedback systems using exploratory analysis and A/B testing to enhance data quality and engagement across all user segments. + Integrate and Analyze Data: Combine telemetry data with user feedback metrics to provide a comprehensive view of product performance and user sentiment. Use inferential statistics to identify patterns and drive data-driven decision-making. + Drive Data-Driven Decision-Making: Leverage insights from telemetry and user feedback to inform product teams, facilitating strategic decisions that enhance user experience and align with business objectives. Apply statistical models to predict future trends and outcomes. + Collaborate and Engage with Stakeholders: Work with cross-functional teams to ensure alignment on measurement objectives and strategies. Use data-driven insights to guide product planning and execution, fostering a culture of collaboration and innovation. **Must-have Qualifications** + 8+ years of experience with a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field, or equivalent applied experience. + Proven expertise in advanced analytics, including forecasting, modeling, regression analysis, and clickstream analysis, to extract actionable insights from complex data sets. + Strong skills in statistical analysis, data interpretation, and experimental design, with a particular focus on applying inferential statistics to solve business challenges. + Demonstrated ability to collaborate effectively with cross-functional teams, driving data-driven decisions that enhance product strategy and performance. + Experience in synthesizing telemetry data with qualitative and quantitative insights, enabling comprehensive analysis that informs strategic decision-making. + Proven track record in developing scalable data solutions across various product lines and user segments, ensuring data-driven strategies align with overarching business objectives. Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, and much more! Learn more about our comprehensive benefits and well-being offering here. **Splunk is an Equal Opportunity Employer** Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $159,200.00 - 218,900.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $143,280.00 - 197,010.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $127,360.00 - 175,120.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

The Senior Data Scientist is a subject matter expert who leverages data science and knowledge of health care data to develop data-driven solutions focused on research. The Senior Data Scientist builds predictive models, experimental designs and web analytics, machine learning algorithm using advance technologies to support research initiatives. Providence caregivers are not simply valued - they're invaluable. Join our team at Providence Portland Medical Center and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them. Required Qualifications: Master's Degree: MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field or equivalent educ/experience An equivalent of 6 or more years of relevant data analysis or analytics experience An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks). and data visualization tools (e.g. Power BI, Tableau) An equivalent of six or more years of experience applying advanced statistical concepts, machine learning techniques, forecasting and other methods to solve complex problems using structured and unstructured data Why Join Providence? Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.

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.

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

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions. **Summary:** The Senior Data Engineer will oversee the business unit's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. Responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes. **Primary responsibilities for role:** + Independently lead analytical development to extract hidden insights from Real World Medical Data + Independently identify insights from data and metadata sources, interpreting and communicating findings to management + Ensure completeness, critical evaluation, correctness and integrity of analyses and datasets + Lead and advise integration of internal and external needs and capabilities of internal RWD team and external vendors; manage vendor process changes that require team to continuously reformat or set up new environments (ie. Snowflake) + Established, maintains and enforces our data pipeline standards and conventions + Establishes and maintains our data engineering documentation + Manages our data pipeline codebase using external source control repositories as well as within-product tools (e.g., Databricks notebooks) + Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles + Determines methods and procedures on new assignments + Networks with key contacts outside own area of expertise + Exercises judgment in selecting methods, evaluating, adapting of complex techniques and evaluation criteria for obtaining results + Accountable for results, which may impact the entire function + Supervises and manages vendors and external consultant(s) + Serve internally as a subject matter expert; advises others on complex matters **Additional Responsibilities:** + Work closely with teams across biostatistics, data science, data engineering and cloud operations to design and implement data initiatives based on understanding of their use cases + Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data + Provide guidance and hands-on support with real world data management and analysis (real world data can include EHRs, claims, wearables, questionnaires, imaging data, etc.) + Engage external resources to apply cutting edge methodologies and ensure recognition in the scientific community including publications + Stay abreast of emerging trends and advancements in data engineering, and software development to continually enhance our research and development operations **Knowledge, Skills, and Abilities:** + Must be a delivery-focused engineer who is passionate about leveraging technology for meaningful and impactful applications + Ability to rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve software solutions in alignment with strategic Company objectives + Proficient with data science tools such as R, R data pipelining tools (e.g., Posit connect) and Python libraries (PyTorch, Scikit-Learn, SciPy) + Must have excellent written and oral communication skills to convey advanced information and persuade several diverse stakeholders/audiences + Deep understanding of complex data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes. + Background in SQL and cloud infrastructure such as S3, ECS, EMR, Lambda, Glue as well as expertise with some core data technologies such as of Trino, Presto, Parquet, Hudi, Iceberg + Exceptional collaboration and communication skills to effectively engage and work with stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences. + Experience in data engineering using R and Python (or other software toolkits), with a demonstrated ability to thrive in ambiguous and rapidly changing environments + Proficient with data science tools such as R, R data pipelining tools (e.g., Posit connect) and Python libraries (PyTorch, Scikit-Learn, SciPy) **Education:** Bachelor's or Master's degree in Computer Science, Engineering, or a related field **Experience:** 8+ years of relevant experience with a Bachelor's degree **Equivalency:** 6 years and a Master's degree; or 3 years with a PhD; or 12 years of related experience **Pay Scale:** The estimated pay scale for the Sr. Data Engineer role based in the United States (non-California), is $114,000.00-$148.000.00 per year. Additionally, the position is eligible to participate in the company bonus pool. We offer a wide variety of benefits including, but not limited to: Medical, Dental, Vision, PTO, 9 paid Holidays per year, up to 5% 401(K) match and tuition reimbursement. Final compensation packages will ultimately depend on education, experience, skillset, knowledge, where the role is performed, internal equity and market data. We are committed to offering our employees opportunities for professional growth and career progression. Grifols is a global healthcare organization with employees in 30 countries focused on patient health and providing impactful results. Since our humble beginnings in 1909, Grifols has been a family company that prides itself on its family-like culture. Our company has more than tripled over the last 10 years, and you can grow with us! **For California:** The estimated pay scale for the Sr. Data Engineer role based in San Francisco, San Carlos or Emeryville, California, is $140,000.00- $185,000.00 per year. The estimated pay scale for the Sr. Data Engineer role based in all other cities in California is $130,000.00 - $170,200.00 per year. **For Washington State:** Currently, the first year PTO accrual for this role is 120 hours per year. Then, after completion of 365 days of employment the PTO accrual for this role will increase to 160 hours per year. Third Party Agency and Recruiter Notice: Agencies that present a candidate to Grifols must have an active, nonexpired, Grifols Agency Master Services Agreement with the Grifols Talent Acquisition Department. Additionally, agencies may only submit candidates to positions that they have been engaged to work on by a Grifols Recruiter. All resumes must be sent to a Grifols Recruiter under these terms or they will be considered a Grifols candidate. **Grifols provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other characteristic or status protected by law. We will consider for employment all qualified Applicants, including those with arrests or conviction records, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.** Learn more about Grifols (************************************** **Req ID:** 521347 **Type:** Regular Full-Time **Job Category:** Research & Development

Department: Information Services Classification: Analyst Programmer 2 Appointment Type and Duration: Regular, Ongoing Salary: $62,028 - $115,128 per year FTE: 1.0 Hybrid eligible Review of Applications Begins open until filled Special Instructions to Applicants To be considered for this position, applicants must submit a complete application. Complete applications must include an online application and resume that address how you meet the minimum and preferred qualifications. We are interested in finding the best candidate for this position. We encourage you to apply, even if you don't think you meet every one of our preferred qualifications - use your application to let us know what is meaningful to you about the role and what transferable skills or other qualities you would bring. Department Summary Information Services (IS) is the central information technology unit at the University of Oregon and provides wide ranging services to campus. Information Services consists of four major functional areas: Customer Experience, which serves as the key contact point for interactions with campus clients and customers; Enterprise Solutions, which manages and supports applications, integration services, identity management and data management; Information Security, which helps protect virtual or physical information; and Technology Infrastructure, which provides administration and support for the software, hardware, and services needed to support the campus IT environment. Information Services also includes the Advanced Network Technology Center. IS works closely with the Network for Education and Research in Oregon. Established in 1876, the University of Oregon offers a breadth and depth of curricula with more than 270 academic programs and provides the opportunity to work at a respected research university with a strong holistic, liberal arts foundation. The UO also has a history of political and social involvement that embraces diverse beliefs, cultures, and values, and it is committed to environmental responsibility. The University is also proud of the newly-announced Phil and Penny Knight Campus for Accelerating Scientific Impact, an initiative specifically designed to fast-track scientific discoveries and the process of turning those discoveries into innovations that improve the quality of life for people in Oregon, the nation and beyond. Information Services collaborates with Research and Innovation and our schools and colleges to support the research, teaching, and learning mission of the University. Eugene is the home of the University of Oregon. Located in the lush Willamette Valley, Eugene is well-known for outdoor pursuits like running, cycling, rafting, and fishing, as well as arts, music, crafts, brewing, wine-making, and community-supported agriculture. With branches in Portland and on the Oregon coast, the UO is deeply connected to Oregon's natural and cultural treasures. Position Summary The Data Engineer 2 position is responsible for data pipeline, transformation, and model planning, design, development, and support for enterprise data warehouses and data lakes. This position works alongside other data professionals like Architects, ETL Developers and Data Analysts, both internal and external to the department, to meet critical data and analytical needs of the institution. Additional collaboration happens with ERP Developers or other technical staff to respond to changes in source systems, to maintain high quality and timely data pipelines. This position develops and maintains high quality and up-to-date critical system documentation. This position provides expertise and consultation to other Information Services teams with regards to data structures and pipelines. This position functions within a team to initiate, promote and coordinate activities to foster growth within the university business intelligence community. This position has no budget authority and no supervisory authority. Minimum Requirements This classification requires a basic foundation of knowledge and skills in systems analysis and related programming support functions generally obtained by a bachelor's degree in computer science or an equivalent amount of training and applied experience. Professional Competencies • Ability to work effectively with faculty, staff, and students from a variety of diverse backgrounds. • Demonstrated advanced problem-solving skills. • Excellent verbal and written communication skills, including the ability to explain technical concepts to audiences with a wide range of technical skills. • Ability to adapt within a rapidly changing technical environment. • Ability to work independently as well as in a team-oriented, collaborative environment. • Keen attention to detail in analysis and validation and strong organizational skills. Preferred Qualifications • Experience with Ellucian Banner, ODS and/or EDW. • Experience with Oracle Databases and/or Oracle Data Integrator (ODI). • Experience with IBM Cognos or Microsoft Power B.l • Experience with Microsoft Azure or AWS data warehouse and data lake technologies. • Experience developing complex SQL. • Experience developing with python. • Experience with DataOps or DevOps tools and processes, such as git, Jenkins, DBT or Azure DevOps. • Experience with Agile development methodology. • Experience with ITIL version 4 or ITSM (Information Technology Service Methodology). FLSA Exempt: Yes All offers of employment are contingent upon successful completion of a background check. This is a classified position represented by the SEIU Local 503, Oregon Public Employees Union. The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit ************************************** The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please contact us at ********************* or ************. UO prohibits discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy (including pregnancy-related conditions), age, physical or mental disability, genetic information (including family medical history), ancestry, familial status, citizenship, service in the uniformed services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Office of Investigations and Civil Rights Compliance. Contact information, related policies, and complaint procedures are listed here. In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online at ************************************************************************

The hunt is for a strong Big Data Professional, a team player with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers. Role: Big Data Engineer Location: Portland OR. Duration: Full Time Skill Matrix: Map Reduce - Required Apache Spark - Required Informatica PowerCenter - Required Hive - Required Apache Hadoop - Required Core Java / Python - Highly Desired Healthcare Domain Experience - Highly Desired Job Description Responsibilities and Duties Participate in technical planning & requirements gathering phases including architectural design, coding, testing, troubleshooting, and documenting big data-oriented software applications. Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business's operational and analytics databases, and troubleshoots any existent issues. Implementation, troubleshooting, and optimization distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Storm, Kafka, etc. in both an on premise and cloud deployment model to solve large scale processing problems Design, enhance and implement ETL/data ingestion platform on the cloud. Strong Data Warehousing skills, including: Data clean-up, ETL, ELT and handling scalability issues for enterprise level data warehouse Capable of investigating, familiarizing and mastering new data sets quickly Strong troubleshooting and problem-solving skills in large data environment Experience with building data platform on cloud (AWS or Azure) Experience in using Python, Java or any other language to solving data problems Experience in implementing SDLC best practices and Agile methods. Qualifications Required Skills: Data architecture/ Big Data/ ETL environment Experience with ETL design using tools Informatica, Talend, Oracle Data Integrator (ODI), Dell Boomi or equivalent Big Data & Analytics solutions Hadoop, Pig, Hive, Spark, Spark SQL Storm, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design) Building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozy, Sqoop, Pig, Hive, HBase, Avro, Parquet, Spark, NiFi Foundational data management concepts - RDM and MDM Experience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsets Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fine Healthcare Domain knowledge Required Experience, Skills and Qualifications Qualifications: Bachelor's Degree with a minimum of 6 to 9 + year's relevant experience or equivalent. Extensive experience in data architecture/Big Data/ ETL environment. Additional Information All your information will be kept confidential according to EEO guidelines.

Data Engineers provide data services to stakeholders within portfolios and throughout the enterprise by building and managing data resources to support reporting, business intelligence, analytics, data science projects and operational applications. They engage with data-centric product managers and developers, technology teams, analysts, and business partners to understand capability requirements and define and construct data structures and solutions based on priorities. The Data Engineer III has advanced proficiency in the design, development, and operational tasks required to provide accurate, timely, high quality data critical to feed data products (i.e., reports, analyses and data science models) and support downstream applications. The Data Engineer III has deep understanding of available business data resources and how to craft robust, practical data solutions and works with business stakeholders and technical counterparts on best practices for stewardship, building and maintaining data resources. This role is within the Information and Digital Services organization at Les Schwab headquarters in Bend, OR. GENERAL % OF WORK TIME PRIMARY RESPONSIBILITIES/FUNCTIONS 20% Operational Support ● Build and deliver ad hoc data sets to support business analysis, data analysis, analytics, proofs-of-concept, and other use cases ● Create and review complex SQL scripts and queries in support of reporting and analytics applications ● Evaluate and implement appropriate technologies and methods to automate data preparation and data movement with Les Schwab standard data stores, tools, and platforms ● Monitor and troubleshoot manual and automated data preparation and data movement processes ● Solve complex technical problems and mentor/support other technical staff in developing workarounds and resolving operational issues ● Create, maintain and review operational procedures and related documentation 30% Data Structure and Solution Design ● Collaborate with business systems analysts, data analysts, business stakeholders, and analytics practitioners to understand data product and downstream system data requirements ● Collaborate with data stewards and data source managers to understand data definitions and business rules relevant to data structure design ● Perform detailed design of data structures from inception through production support ● Create data models for relational and dimensional database schemas for a range of use cases from targeted reporting solutions to support of downstream applications ● Conduct information modeling, including conceptual models, relational database designs and message models ● Perform and review designs and solutions for data manipulation, data preparation, and data movement processes for a variety of scenarios from simple file-based export/import to enterprise-grade ETL workflows connecting multiple structured and unstructured endpoints 20% Data Structure and Solution Development ● Catalog existing data sources and enable access to resident and external data sources ● Develop programming, modeling and data integration, supporting task automation. ● Create physical database tables, views, and flat files for analytics research projects, reporting, analytics applications, and for publication to downstream subscribers ● Solve complex technical problems and mentor/support other technical staff in developing data models, data structures and ETL solutions February 2016 Headquarters and Prineville Job Description Page 2 of 5 ● Create and maintain data dictionaries, data model diagrams, data mapping documents, data security and quality requirements and related data platform documentation ● Work in an agile team environment to deliver timely analytics solutions and insights within a dynamic learning organization 15% Data Platform Quality and Governance ● Develop a quality assurance framework to ensure the delivery of high quality data and data structure analyses to stakeholders ● Collaborate with Digital Services colleagues to select and adopt best practices within a culture of data management excellence ● Implement and continuously improve development best practices, version control and deployment strategies to ensure product quality, agility and recoverability ● Implement and test data access roles and permissions to ensure “least privileged” access to enterprise data and reduce the enterprise risk of data exposure ● Proactively identify opportunities to improve data work flows and query performance 10% Stakeholder Relationship and Vendor Management ● Support Data Stewards to establish and enforce guidelines for data collection, integration and maintenance ● Provide expert advice to empower Information and Digital Services colleagues to understand and utilize Enterprise Data Platform Services and Data resources ● Collaborate with Portfolios across the enterprise to ensure that roles for data access follow “least privilege” principles, yet there is high data literacy and awareness of enterprise data available for use ● Make all stakeholders ethically aware of the unintended consequences of the use of data and identify risks and opportunities to be communicated throughout the enterprise 5% Resource Development: Mentoring and Best Practices ● Provide mentoring and expert advice for the development of complex and high-performance SQL ● Promote best practices for building quality into data structure, ETL and data solutions to improve efficiency and lower probabilities of defects within the data platform and downstream ● Move beyond the scope of individual projects and promote, guard and guide the organization toward common semantics and proper use of metadata ● Take responsibility for streamlining data pipelines across the enterprise, ensuring they are coordinated, consistent, efficient and production ready Qualifications Required Technical Skills/Knowledge: ● Expert knowledge of data modeling ● Expert developer of Advanced SQL (analytical functions) ● Deep knowledge of query performance tuning ● Deep knowledge of data analysis techniques for testing and troubleshooting ● Deep knowledge of ETL process development ● Expert proficiency in writing and maintaining data management documentation such as data dictionaries, data catalogs, and integration data maps. ● Understanding of stakeholder processes for reporting and data analytics to serve business decision-making ● Understanding of data stewardship concepts ● Proficiency and demonstrated experience with a programming language such as Python, R, JavaScript, Java C#, Go, or similar. Advanced procedure or function development in T-SQL, Oracle PL/SQL or equivalent also acceptable ● Proficiency and demonstrated professional experience working with flat file data formats including delimited files, XML, and JSON ● Practical experience using solution delivery collaboration software such as Service Now, Jira, TFS, or similar Additional Information Educational/Experience Requirements: ● Bachelor's degree (BS or BA) in STEM related discipline with major in Computer Science/Information Management/Database Development and Analysis or equivalent disciplines or equivalent experience with appropriate time-in-role ● 6+ years of experience with data warehouse technical architectures, ETL/ELT, reporting/analytic tools and scripting ● Experience with AWS services including S3, Data-pipeline and cloud based data warehouses ● Experience with data visualization tools such as Tableau or Birst is a plus

We at Agap Technologies Inc. help our clients build successful businesses by enabling them to synergize state-of-the-art technology with exceptional talent. We offer a full suite of IT solutions and services, from custom software development to staffing. Our multidisciplinary team of experts in areas like data analysis, automation, personnel development and management, and project management helps us offer a unique set of tech-driven solutions and services that allow our clients to achieve their business objectives in the most efficient way possible. Our technical competence is further built upon by our high standards of professionalism, diligence, and ethics, which has enabled us to deliver top-notch services to our clients and exceed expectations every time. Job Description Our Training Features: · You will receive top quality instruction that is famous for Online IT training. · Trainees will receive immediate response to any training related queries, either technical or otherwise. We advise our trainees not to wait till the next class to seek answers to any technical issue. · Training sessions are conducted by real-time instructor with real-time examples. · Every training session is recorded and posted to the batch after each weekend class. · We are offering online training on Data Engineer. We offer you: Entry level IT opportunities for OPT, LI, L2, and H4EAD. · We provide training and placement assistance in technology of your choice. · Training and Placements for all Valid EAD's. · Good online training virtual class room environment. · Highly qualified and experienced trainers. · Professional environment. · Special interview training · Training for skill enhancement. · Study material and Lab material provided. · E-Verified company. If you are interested or if you know anyone looking for a change, please feel free to call or email me for details or questions. I look forward to seeing resumes from you or your known and highly recommended candidates. Thanks Cell Number : *************** Additional Information All your information will be kept confidential according to EEO guidelines.

Process & Timeline Applications will be accepted until 11:59 PM, April 6, 2025 April - May: Application Review & Selection Process. Internship start date is Monday, June 16, 2025. Internship end date is Friday, August, 22, 2025. Compensation - Varies based on education level Enrolled as a freshman or sophomore in a college or university: $19.00/hour Enrolled as a junior or senior in a college or university: $20.55/hour Enrolled in a graduate program: $24.04/hour Selected candidate must be residing in Oregon by the time of hire. The City of Hillsboro is accepting applications for Water Resources Data Intern in our Water Department! This position will support the Water Department's Water Resources Division with a variety of data related tasks. The candidate will primarily assist the Water Resources Management Analyst in completing monthly and weekly data reports and data entry tasks related to drinking water supply, demand, and consumption data. In this internship you will have the opportunity to shadow other Water Resources staff in their task, related to Source Water Protection, Water Quality, Conservation, Permitting, and Water Rights Management. While working with them you will attend meetings with local stakeholders and water management groups (Water Resources Committee, Tualatin Flow Management Committee, JWC Operations Committee, Tualatin Watershed Council, etc) and may present relevant information or work. General Description of Duties Water database entry and verification; Creating weekly storage curve graphs; Developing graphs and tables for the annual Tualatin Flow Management Report; Reviewing monthly and weekly stored water and water treatment plant data; The Ideal Candidate: Analytical, with an attention to detail; Can recognize trends in data for quality assurance and quality control; Have strong skills in Microsoft Office, particularly with Excel; Be able to create data visualizations that present technical data to non-technical audiences. The principal function of this class is to provide a learning opportunity to students interested in working in a water resources, data analytics, or public service field. This position can include analytical and administrative services in support of department and city-wide programs and projects related to a student's area of study. Incumbents, as assigned by position and supervisor may be responsible for performing project research and recommendations; preparing information and/or supporting documents for meetings or projects; maintaining databases; providing technical assistance; participating in community outreach; and facilitating internal and/or external customer service. This position will perform work under the supervision and direction of an assigned supervisor. Examples of Essential Work This class specification represents only the core areas of responsibilities; specific position assignments will vary depending on the needs of the department. Receives and responds to assigned internal and external and information requests. Researches, analyzes, troubleshoots, and provides information and support related to functional area of assignment under close supervision of an assigned supervisor. Researches and analyzes data, information records and/or trends; prepares and completes reports, surveys; provides recommendations for improved processes and procedures. Assists in implementing and administering special department projects, such as preparation of reports, performing project research and management, and project or program development. Keeps immediate supervisor and designated others accurately informed concerning work progress, including present and potential work problems and suggestions for new or improved ways of addressing such problems. Attends meetings, workshops, and training sessions and reviews publications and audio-visual materials to become and remain current on principles, practices, and new developments in assigned work areas Performs other duties of a similar nature and level as assigned, including the ability to meet staff off-site at public locations (i.e. coffee shop, other City sites) for one-on-one meetings. Acceptable Experience and Training Must be enrolled in an educational institution (secondary or post-secondary) and have at least completed one year, or have graduated within the last 3 months studying Environmental Sciences, Biology, Chemistry, Engineering, Information's systems, Statistics, Data Analytics, or closely related field. Level of education and experience needed will vary based on assignment requirements. Preference may be given to students currently enrolled at Portland Community College in the Future Connect program. LICENSING/CERTIFICATIONS: Depending on assignment, some positions may require: Possession of a valid State Driver's License and safe driving record. Additional Information Bilingual incentive pay available Preference may be given to candidates who are bilingual in Spanish/English. Employees who can demonstrate the ability to speak Spanish, or any language spoken by over ten percent (10%) of City residents as documented by the most recent U.S. Census, at a proficiency level determined by a fluency test administered by the City, will receive a monthly premium of three percent (3%) of their regular base pay. CITY OF HILLSBORO'S CORE VALUES: Employees at the City of Hillsboro are expected to exemplify the behaviors set forth in our Core Values as follows: Excellence in Public Service Respect for Diverse Voices and Ideas Responsiveness in Customer Service Tradition of Reliability Stewardship of the Public Trust Leadership with Ethics and Integrity Culture of Teamwork and Communication Emphasis on Innovation Employees are also expected to promote a positive work environment and to be effective and collaborative team members, while providing responsive municipal services to the citizens of the City of Hillsboro.