7,673 Principal Data Scientist jobs in the United States

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.

About Tendo

Make an impact-join our team!

We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location

Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

Responsibilities

• Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
• Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
• Develop analytic data sets and use statistical software to analyze data sets as requested.
• Use third party software tools in the development of queries and visualizations.
• Coordinate with different functional teams to implement models and monitor outcomes.

• Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience.
• Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines.
• 7+ years of experience in data analysis software, with data science experience preferred.
• 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
• Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains.
• Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc.
• Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning.
• Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc.
• Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows.
• Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering.
• Strong problem-solving skills with an emphasis on data analytics.
• Excellent written and verbal communication skills for coordinating across teams.

• Experience in the healthcare setting preferred.
• Experience with Epic EMR data preferred, but not required.
• Experience with healthcare financials/claims preferred, but not required.


Base Salary Range

$157,250-$212,750

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits

For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe").
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• Provide scientific and technical leadership in machine learning and AI.
• Act as a subject matter expert in machine learning, statistical modeling, and mentoring junior colleagues.
• Champion advanced analytics results to non-technical audiences.

• Employ cutting-edge analytical approaches to drive digital, data, and pharmaceutical product development.
• Develop computational and statistical methodologies for advanced analytics.

• Work closely with other disciplines across Sanofi to deliver cutting-edge analysis to key business questions.
• Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modeling, simulation, text-mining/NLP, and data-mining.

• Collaborate with internal and external data scientists to scope and execute advanced analytics projects.
• Support the implementation of patient support strategies alongside other Sanofi teams.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 7+ years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.
• Experience with advanced ML techniques (neural networks/deep learning, reinforcement learning, SVM, PCA, etc.).
• Ability to interact with large-scale data structures (e.g., HDFS, SQL, NoSQL).
• Experience with big data analytics platforms or high-level ML libraries (e.g., H2O, SageMaker, Databricks, Keras, PyTorch, TensorFlow, Theano, DSSTNE).
• Experience with Vertical Federated Analytics (i.e. FlowerAI)
• Ability to prototype analyses and algorithms in high-level languages (e.g., GitHub, containers, Jupyter notebooks).
• Exposure to NLP technologies and analyses.
• Knowledge of data visualization technologies (e.g., ggplot2, Shiny, Plotly, D3, Tableau, Spotfire).
• Excellent knowledge of English language (spoken and written).

• 7 years of work experience using analytics to solve product or business problems.
• Experience with biomedical data types, population health data, real-world data, or novel data streams relevant to the pharmaceutical industry.

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

• Define and execute on the data science roadmap to advance SecurityScorecard's core analytics and ML capabilities.
• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex cybersecurity challenges.
• Collaborate closely with product, engineering, and research teams to translate business requirements into robust and scalable data science solutions.
• Mentor and guide other data scientists, fostering a culture of technical excellence and continuous learning.
• Conduct rigorous research and experimentation to identify new opportunities and approaches for improving our products and services.
• Stay abreast of the latest advancements in data science, machine learning, and cybersecurity.
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of progressive experience in data science, with a proven track record of leading significant data science projects from conception to deployment.
• Deep expertise in machine learning, statistical modeling, and experimental design.
• Proficiency with Python and experience with relevant data science/machine learning/statistical computing frameworks (e.g., scikit-learn, PyTorch, Numpy).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication, leadership, and interpersonal skills.
• Experience in the cybersecurity domain is a significant plus.
• Experience with LLMs is a plus.

Disney Studios is seeking a highly skilled and innovative full-Stack Principal Data Scientist to lead our data science initiatives and drive impactful insights across our studio operations.

As a Principal Data Scientist, you will play a crucial role in leveraging data to enhance decision making, optimize processes, and uncover opportunities for growth. You will collaborate with cross-functional teams to develop and implement data-driven strategies that align with our mission to create world-class content and entertainment experiences.

To be successful in this role, you should have a strong background in Machine Learning and experience with AI technologies. Our ideal candidate will have a passion for developing cutting-edge technology and the ability to think creatively to solve complex problems

Develop novel AI/ML solutions to further the companys mission of creating innovative and engaging content
Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry
Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges.
Identify trends, patterns, and insights from large datasets to inform decision-making.
Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results
Think creatively to solve complex problems
Monitor and maintain the performance of ML models
Research and stay up-to-date on the latest AI/ML trends and technologies
Provide technical guidance and mentorship to other engineers
Collaborate with data engineering teams to ensure the quality and accessibility of data
Communicate insights and best practices in leadership

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form . The EEOC "Know Your Rights" Poster is available here .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Required Skills & Experience
- MS/Ph.D. in quantitative discipline
- 10 plus years of experience in data science, with a proven track record of leading and delivering successful projects
- Proficiency in programming languages such as Python, R, or Scala
- Expert-level experience working with scikit-learn, NumPy, and pandas and other ML libraries.
- Solid understanding of ML technologies, models, mathematics and statistical methods
Work Location: Onsite Glendale Monday-Thursday

Nice to Have Skills & Experience

Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

Meijer Rewards

• Weekly pay

• Scheduling flexibility

• Paid parental leave

• Paid education assistance

• Team member discount

• Development programs for advancement and career growth

Please review the job profile below and apply today!

The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data.

What You'll Be Doing:

• Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance

• Partner with product development to define requirements which meet system and customer experience needs for data science projects

• Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables

• Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs

• Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology

• You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations.

• Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow.

• Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail.

• Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm.

• Provides data science strategy to ensure code modernization and industry standard patterns for data science.

• Provides guidance to development teams within domain (Commerce, Services or Mobile).

• Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science.

• Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.

• Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution

• Responsible to define, document & follow best practices & approve for ML/AI development at Meijer

• Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products

• Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products

• Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy

• Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact

• This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You'll Bring With You:

• Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field

• Certifications: Azure Data Science Associate, Azure AI, Safe Agile

• 8+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI

• Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK

• Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub

• Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models

• Developed efficient and effective solutions to diverse and complex business problems

• Technical team leadership experience.

• Experience in Scaled Agile framework is preferred.

• Proactive and action oriented

• Ability to collaborate with, and present to internal and external partners

• Experience in the retail industry or in a production/service environment is preferred.

We opened our doors more than 90 years ago with the goal of helping people provide for themselves and their family. Today we’re a multi-billion dollar retailer with more than 70,000 employees across six states. Our Midwest geography includes corporate offices in Grand Rapids, Michigan, plus manufacturing facilities, distribution centers and over 270 stores across Michigan, Illinois, Indiana, Kentucky, Ohio and Wisconsin.

Meijer is an Equal Opportunity Employer, fostering a diverse and inclusive workplace. We are committed to treating all persons with dignity and respect. Meijer's policy is to not discriminate because of any applicant or team member's race, color, national origin, sex, sexual orientation, gender identity or expression, pregnancy, religion, age, physical or mental disability, uniformed service or veteran status, or any other lawfully-protected classification. If you have a disability and require a reasonable accommodation to complete any part of your application, please click here to submit your request . Submissions that are not seeking help to complete the application due to a disability will not be responded to.

Job Description

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Principal Data Scientist to tackle complex technical challenges of the Compute and AI Infrastructure, building sophisticated analytical and optimization system to drive infrastructure optimization and efficiency improvements through data analysis, AI/ML/DL modeling and data visualization. As OCI continues to scale to the demand of an ever-growing customer base and regions, we need hands-on scientists who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of OCI Compute and AI Infrastructure. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions and has a proven track record of delivering business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: Austin, TX - hybrid role 3 days in office

Responsibilities

Responsibilities:

The Principal Data Scientist will be responsible for designing, building and maintaining large-scale data pipelines that support statistical analyses and machine learning model testing, and deployment, forecasting model for infrastructure maintenance and lead business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

• Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling

• Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs

• Create comprehensive data strategy to enable reporting and business analytics

• Conduct research to evaluate data and answer strategic business questions

• Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods

• Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level

• Develop and maintain data architectures that support data warehousing, data lakes, and data governance

• Work with cross-functional teams to integrate data pipelines

• Ensure data quality, integrity, and security across all data pipelines and systems

• Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability

• Champion data engineering and data science principles

• Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices

• Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques to improve processes and products

Basic Qualifications

• BS (or equivalent experience) in Data Science, Computer Science, Applied Mathematics, Engineering, or related quantitative or technical field

• 8+ years of data science or software engineering experience

• Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift.

• Experience analyzing data, generating insights, and telling stories with data

• Strong understanding of data governance, data quality, and data security principles

• Excellent communication and collaboration skills

Preferred Qualifications

• Data visualization and polished communication skills.

• Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills

• Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment

• Highly analytical, technically proficient, and able to learn new tools and ML models quickly

• Experience with GenAI LLM models

• Experience with MLOps, building workflows for model retraining, monitoring and deploying

• Experience with ML frameworks such as TensorFlow, PyTorch

• Experience with cloud-based data platforms such as OCI, AWS, GCP, or Azure

• Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Position Summary.

What you'll do.

The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart's product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

About Team:

Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

We are looking for a Principal Machine Learning Engineer who can help build large scale AI/ML/Optimization products. Expected qualities include ability to build, deploy, maintain and troubleshoot large scale systems.

As a Principal (ML Engineer) Data Scientist, you'll have the opportunity to

• Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art

• Lead the team to develop production level code for implementation of AI/ML solutions using best practices to handle high scale and low latency requirements

• Design large scale AI/ML products/systems impacting millions of customers

• Develop highly scalable, timely, highly-performant, instrumented and accurate data pipelines

• Identify, develop, and deliver improvements on data performance, data quality and cost, which needs to be monitored and analyzed

• Enable data governance practices and process by being a passionate adopter and ambassador

• Perform fine-tuning operations on large language models to customize them for specific business needs

• Optimize large language models for performance and scalability in production environments

• Utilize and contribute to generative AI advancements to develop novel solutions that meet business requirements

• Collaborate with multiple stakeholders to drive innovation at scale

• Build a strong external presence through publishing your team's work in top-tier AI/ML conferences and developing partnerships with academic institutions

• Adhere to Walmart's policies, procedures, mission, values, standards of ethics and integrity

• Adopt to Walmart's quality standards, develop/recommend process standards and best practices across the retail industry

What you'll bring:

• Educational qualifications in PhD with > 8 years of relevant experience / 4-year bachelor's degree with > 12 years of experience / Master's degree with > 10 years of experience

• Educational qualifications should be preferably in Computer Science or a similar discipline.

• Demonstrated history of technology leadership and strong hands-on experience

• Proven records of scientific publications or intellectual property generation

• Past experience in strong programming skills across big data and ML engineering stack

• Strong communication skills with inclination to high ownership and commitment

• Prior experience leading AI/ML tracks and taking it to Production

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see .

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

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For information about benefits and eligibility, see One.Walmart ( .

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The annual salary range for this position is $143,000.00-$286,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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• Stock

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Minimum Qualifications.

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field

Preferred Qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location.

1375 Crossman Ave, Sunnyvale, CA , United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

We anticipate the application window for this opening will close on - 15 Oct 2025

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

We are looking for a business-savvy Principal Data Scientist to support our Contract Performance Management business team, focused on transforming operational and contract-related data into actionable insights. This role will report solid-line to business leadership, acting as an embedded expert within the commercial domain, with a dotted-line reporting to the IT Data Analytics & AI team.

This is a hands-on role, where you'll collaborate daily with functional leaders to frame analytical problems, identify data opportunities, build predictive models, and develop actionable dashboards and tools to support pricing strategies and contracting effectiveness. In this role you will apply your data mining skills, statistical analysis and machine learning techniques, combined with business domain knowledge to bring value to the Contract Performance Management group.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We're working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary?

Responsibilities may include and others may be assigned.

• Analyze contract performance metrics (e.g., rebate utilization, contract compliance, pricing accuracy) to identify trends, anomalies, and improvement opportunities that drive decision-making based on strategic recommendations and operational efficiency.

• Translate business questions into structured data problems and deliver analytical models and solutions that inform pricing and contract strategies.

• Build and maintain analytic workflows, dashboards, and predictive models directly within Palantir Foundry (or similar platforms).

• Ensure that analytical outputs are accessible, interpretable, and actionable by non-technical users.

• Develop repeatable and scalable data science components within enterprise platforms that integrate tightly with contract performance operations.

• Analyze large amounts of data to discover trends and patterns.

• Build predictive models and machine-learning algorithms.

• Present information using data visualization techniques.

• Collaborate with data architects/engineers and data analysts withing the IT group to achieve common project goals.

• Extend the company's data with third party sources of information when needed.

• Processing, cleansing, and verifying the integrity of data used for analysis.

• Perform ad-hoc analysis and present results in a clear manner.

Must Have:

Bachelors degree with a minimum of 7 years of relevant experience, or Advanced degree with a minimum of 5 years of relevant experience.

Nice to Have: (Preferred Qualifications)

• Minimum of 5 years of proven experience as a Data Scientist.

• Analytical mindset and deep experience transforming data into business insights.

• Proven experience developing and deploying data science solutions within enterprise-scale analytics platforms such as Palantir Foundry (strong plus), Databricks, Snowflake, Dataiku, Qlik, Alteryx, Tableau Prep, Azure Synapse, or similar.

• Proficiency in Python or R is required for advanced data analysis and modeling tasks.

• Hands-on experience building analytics workflows and models in low-code or no-code collaborative platforms.

• Experience with data modeling concepts and data lineage in modern data ecosystems.

• Proven experience developing machine learning models for predictive and prescriptive data analysis.

• Experience in data visualization (Power BI/Tableau or similar)

• Strong math skills (e.g. statistics, algebra).

• Problem-solving attitude.

• Excellent communication and presentation skills.

• Experience working directly with commercial, pricing, contracting or finance teams in a data science capacity.

• Medical devices, healthcare or pharma experience.

• Hands-on experience working with Palantir Foundry.

• Experience with ontology and digital twin frameworks.

• Proven experience with process mining frameworks (Celonis, UiPath,.)

• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or quantitative field is a strong plus.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position?

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

Salary ranges for U.S (excl. PR) locations (USD):120,800 - 181,200

The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).

The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).

Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.

Further details are available at the link below:

Medtronic benefits and compensation plans (

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.

Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.

We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here ( .

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

If you are applying to perform work for Medtronic, Inc. ("Medtronic") in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here ( a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.

Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.

We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

We change lives . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.

We build extraordinary solutions as one team . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.

This life-changing career is yours to engineer . By bringing your ambitious ideas, unique perspective and contributions, you will.

• Build a better future, amplifying your impact on the causes that matter to you and the world

• Grow a career reflective of your passion and abilities

• Connect to a dynamic and inclusive culture that welcomes the challenge of life-long learning

These commitments set our team apart from the rest:

Experiences that put people first . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.

Life-transforming technologies . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.

Better outcomes for our world . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.

Insight-driven care . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

For sales reps and other patient facing field employees, going into a healthcare setting?is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.

This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .

For updates on job applications, please go to the candidate login page and sign in to check your application status.

If you need assistance completing your application please email

To request removal of your personal information from our systems please email

Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company's patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit .

Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.

Overview

Principal Data Scientist Opportunity - Precision Impact in Biopharma

Azurity Pharmaceuticals is looking for a Principal Data Scientist that combines high-impact, real-world decision-making with scientific rigor and technical depth.

We're looking for someone who can:

Lead causal inference and uplift modeling across HCP engagement, omnichannel strategy, and business development

Design and deploy models with production-grade MLOps (Azure, MLflow, Git, DBT, Foundry)

Act as a thought partner to commercial teams , translating insight into action

Mentor a growing team of data scientists and data engineers

Bring a PhD-level foundation in biostatistics, econometrics, computer science, or a related field.

This is a hands-on and strategic role , embedded within a high-functioning commercial team that values scientific integrity, reproducibility, and speed to insight.

Example projects may include:

• Optimizing field deployment and BD decisions using uplift models
• Running robust counterfactual analyses (e.g., PSM, DiD, IPW)
• Auditing legacy ML/AI assets and creating scalable inference pipelines
• Building technical standards across a team of 5+ DSs and 2-3 engineers

Why This Role Matters

1. You'll directly shape how data science drives growth in a real-world biopharma setting.
2. You'll work at the intersection of research-grade methodology and commercial outcomes .
3. You'll help build a culture of mentorship, clarity, and scientific accountability .

Why Join Azurity?

Azurity Pharmaceuticals is a fast-growing specialty pharmaceutical company with a strong commitment to innovation, agility, and improving patient care. This role offers a unique opportunity to be a key architect in our analytics-driven transformation , with the freedom to innovate and the visibility to influence high-stakes decisions.

Physical & Mental Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Must be able to sit for long periods of time
• While performing the duties of this job, the employee is frequently required to stand; walk; sit; talk and/or hear
• May occasionally climb stairs and/or ride elevators
• The employee must occasionally lift and/or move up to 25 pounds
• Employee must be able to manipulate keyboard, operate a telephone and hand-held devices
• Other miscellaneous job duties as required

Benefits We Offer:

• Unlock Your Earning Potential: Join our team and be rewarded with a competitive compensation package, including an annual bonus based on company performance, that recognizes your exceptional talent.
• Sales - In lieu of annual bonuses, we offer an Incentive compensation program that allows you to earn more - even over plan.
• Fuel Your Success: *Sales Only* - We understand the value of your hard work and provide a car reimbursement program and gas card for both business and personal use as part of our commitment to supporting you.
• Comprehensive Health Coverage: We value your well-being and offer excellent medical, dental, vision, and prescription coverage to ensure you and your family are always taken care of.
• Flexibility for Your Lifestyle: Achieve work-life balance with our hybrid work model, allowing you to work two days from home and three days in the office. *Excludes Sales, Manufacturing, and some Operations positions*
• Invest in Your Future: Our Retirement Savings Plan (401K) is designed to help you secure a comfortable retirement by matching dollar for dollar up to 5%.
• Time Off That Counts: Take advantage of our generous time off policy, which offers up to 15 vacation days annually + rollover (up to 40 hours) as well as five sick/wellness days. For new employees, vacation accrual will be prorated based on your start date.
• Meaningful Time with Your Loved Ones: We close between Christmas and New Year's to give you an extra week off to spend quality time with your family and recharge.
• Enjoy the Holidays: Over the course of the year, Azurity recognizes 13 holidays.
• Invest in Your Education: We support your professional growth with tuition reimbursement for undergraduate and graduate level courses or certifications.
• Recognize and Be Recognized: Our Azurity High Five peer recognition platform allows you to celebrate your colleagues' accomplishments and receive recognition for your own outstanding work.
• We are not offering any sponsorships at the present time.