Senior Data Scientist, One Medical - Clinical Effectiveness

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience working with healthcare data.
- Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Expert-level proficiency in Python and SQL.
- Experience with modern cloud infrastructure including Snowflake, MLFlow, Sagemaker, and other AWS services.
- Experience with LLM prompting techniques and evaluation.
- Experience in patient safety, safety analysis, reliability engineering, or a related field.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The mission of One Medical's Clinical Effectiveness team is to deliver standard-setting health outcomes for our patients, while reducing total cost of care.

We are looking for a Senior Data Scientist with a track record of independently delivering impactful Data Science solutions working hand-in-hand with technical and non-technical stakeholders.

Working closely with clinical and cross-functional leaders from across the organization, you will strive to understand, define and help solve problems in domains that include patient safety, value-based care, cardiometabolic health, mental health, population health, clinical-operational efficiency, among others.

If you are a self-driven problem solver, we would love to hear from you!

Key job responsibilities
- Work cross-functionally with clinical leaders to plan and execute statistical analyses to assess the impact of our clinical effectiveness, patient safety, and care quality initiatives.

- Communicate analytical results and methods to a mixture of technical and non-technical stakeholders.

- Collaborate with other Data Scientists in defining requirements, establishing success metrics, and delivering high-quality AI / ML-based solutions.

- Contribute to the continuous improvement of team processes and tooling.

A day in the life
- Ownership of clinical effectiveness statistical analyses, including stakeholder management.

- Design and develop data pipelines that leverage generative AI models (LLMs).

- Write complex queries of large healthcare datasets.

- Participate in code reviews and design discussions.
- Provide input to inform the team's roadmap and technology strategy.