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Job Description:
Role: Data Scientist II
Location: South San Francisco, CA
Hybrid- M, Tues, Wed in-office 8am-5pm (flexibilty needed)
Interview process: In-person- 2 hrs & 15 mins l HackerRank (SQL & Python), technical ( ML techniques and AI solution design) interview / follow up interview (same day)
Overview
We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.
The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams.
Key Responsibilities
Model Development & Optimization
Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
Feature Engineering & Data Preparation
Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
Production & Pipeline Scalability
Transition analytical models and scripts into robust, production-ready pipelines
Ensure code quality, documentation, and adherence to engineering and data science best practices
Support model deployment, monitoring, and ongoing performance improvements
Cross-Functional Collaboration & Insight Translation
Partner with data science, analytics, and business teams to translate business problems into technical solutions
Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders
Qualifications
Required
Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
Minimum 5 years of hands-on experience in data science and machine learning model development
Proven track record of taking models from ideation through production deployment
Strong proficiency in Python, SQL, and AWS
Deep expertise in Machine Learning and/or Deep Learning techniques
Experience working with large-scale, complex datasets in collaborative environments
Preferred
Experience within healthcare, pharmaceutical, or other highly regulated industries
Hands-on experience with claims data or similarly complex, regulated datasets
Strong understanding of data privacy, compliance, and governance requirements
Experience with MLOps practices, including pipeline automation, deployment, and monitoring
What We’re Looking For
A self-driven, senior-level contributor who can lead model development efforts and influence technical direction
Someone who thrives in a team environment and contributes to shared goals without needing sole ownership
A candidate who balances technical excellence with business impact, delivering solutions that are both scalable and meaningful
Additional Notes
This is a Level II role, requiring demonstrated depth in both technical execution and real-world application of AI/ML solutions
Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment
Job Description:
Role: Data Scientist II
Location: South San Francisco, CA
Hybrid- M, Tues, Wed in-office 8am-5pm (flexibilty needed)
Interview process: In-person- 2 hrs & 15 mins l HackerRank (SQL & Python), technical ( ML techniques and AI solution design) interview / follow up interview (same day)
Overview
We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.
The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams.
Key Responsibilities
Model Development & Optimization
Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
Feature Engineering & Data Preparation
Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
Production & Pipeline Scalability
Transition analytical models and scripts into robust, production-ready pipelines
Ensure code quality, documentation, and adherence to engineering and data science best practices
Support model deployment, monitoring, and ongoing performance improvements
Cross-Functional Collaboration & Insight Translation
Partner with data science, analytics, and business teams to translate business problems into technical solutions
Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders
Qualifications
Required
Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
Minimum 5 years of hands-on experience in data science and machine learning model development
Proven track record of taking models from ideation through production deployment
Strong proficiency in Python, SQL, and AWS
Deep expertise in Machine Learning and/or Deep Learning techniques
Experience working with large-scale, complex datasets in collaborative environments
Preferred
Experience within healthcare, pharmaceutical, or other highly regulated industries
Hands-on experience with claims data or similarly complex, regulated datasets
Strong understanding of data privacy, compliance, and governance requirements
Experience with MLOps practices, including pipeline automation, deployment, and monitoring
What We’re Looking For
A self-driven, senior-level contributor who can lead model development efforts and influence technical direction
Someone who thrives in a team environment and contributes to shared goals without needing sole ownership
A candidate who balances technical excellence with business impact, delivering solutions that are both scalable and meaningful
Additional Notes
This is a Level II role, requiring demonstrated depth in both technical execution and real-world application of AI/ML solutions
Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment