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Data Scientist II

Mindlance

south san francisco, CA

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JOB DETAILS
SALARY
$48.29–$110.35 Per Hour
SKILLS
Analysis Skills, Artificial Intelligence (AI), Best Practices, Biotech and Pharmaceutical, Computer Science, Cross-Functional, Data Analysis, Data Quality, Data Science, Data Sets, Deep Learning, Documentation, Healthcare, Machine Learning, Performance Analysis, Performance Management, Python Programming/Scripting Language, Regulatory Compliance, SQL (Structured Query Language), Scalable System Development, Scripting (Scripting Languages), Statistics, Team Player, Training Data Sets, Usability Engineering
LOCATION
south san francisco, CA
POSTED
30+ days ago
Data Scientist II ROCGJP00040352
Contract: 4 months
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

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

M

Mindlance

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