Data Scientist – Privacy & Regulatory Risk Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist – Privacy & Regulatory Risk Analytics for 12 months, onsite in New York, NY. Requires a Master’s degree, 3-5 years of experience, and skills in SQL, statistical modeling, and product analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Modeling #BI (Business Intelligence) #Visualization #ML (Machine Learning) #R #SQL (Structured Query Language) #Statistics #Scala #Computer Science #Python #"ETL (Extract #Transform #Load)" #Data Science
Role description
Job Title: Data Scientist – Privacy & Regulatory Risk Analytics
Location: Onsite – New York, NY
Duration: 12 Months (Contract)
Top 3 Must-Have Hard Skills
SQL (Intermediate level) , Hands-on experience (3–4 years required)
Statistical Modeling
Product Analytics
Good-to-Have Skills
Experience working in tech industries
Python (or R)
Cross-functional collaboration experience
Integrity or privacy-related project experience
Political/regulatory/legal research background (regulations, legal obligations, requirements)
Exposure to machine learning models
Interest in GenAI privacy topics
Key Responsibilities
Apply statistical, machine learning, and data modeling techniques to identify patterns, generate hypotheses, and build prototypes.
Design, develop, and evaluate predictive models and advanced algorithms to extract optimal value from data.
Analyze and interpret product experiment results.
Build measurement frameworks and metrics to assess product success.
Partner with engineers to translate prototypes into scalable products/features.
Provide BI and data visualization support (including dashboards and ad-hoc analysis).
Education / Experience:
Master’s degree in Computer Science, Data Science, Statistics, or related field
3–5 years of relevant professional experience
Job Title: Data Scientist – Privacy & Regulatory Risk Analytics
Location: Onsite – New York, NY
Duration: 12 Months (Contract)
Top 3 Must-Have Hard Skills
SQL (Intermediate level) , Hands-on experience (3–4 years required)
Statistical Modeling
Product Analytics
Good-to-Have Skills
Experience working in tech industries
Python (or R)
Cross-functional collaboration experience
Integrity or privacy-related project experience
Political/regulatory/legal research background (regulations, legal obligations, requirements)
Exposure to machine learning models
Interest in GenAI privacy topics
Key Responsibilities
Apply statistical, machine learning, and data modeling techniques to identify patterns, generate hypotheses, and build prototypes.
Design, develop, and evaluate predictive models and advanced algorithms to extract optimal value from data.
Analyze and interpret product experiment results.
Build measurement frameworks and metrics to assess product success.
Partner with engineers to translate prototypes into scalable products/features.
Provide BI and data visualization support (including dashboards and ad-hoc analysis).
Education / Experience:
Master’s degree in Computer Science, Data Science, Statistics, or related field
3–5 years of relevant professional experience
