Estuate, Inc.
Data Scientist II - (LOCAL CANDIDTES & W2 Contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist II in South San Francisco, CA, on a 4-month W2 contract. Requires a Master’s/PhD, 5+ years in data science, expertise in Python, SQL, AWS, and experience with AI/ML in regulated environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 2, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
South San Francisco, CA
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🧠 - Skills detailed
#Deployment #ML (Machine Learning) #Python #Scala #AI (Artificial Intelligence) #Deep Learning #Statistics #AWS (Amazon Web Services) #Data Science #Computer Science #SQL (Structured Query Language) #Datasets
Role description
Data Scientist
South San Francisco, CA
Contract: 4 Months
-LOCAL CANDIDTES & W2 Contract-
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.
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
Data Scientist
South San Francisco, CA
Contract: 4 Months
-LOCAL CANDIDTES & W2 Contract-
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.
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
