

Russell Tobin
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis in San Francisco, CA (hybrid). Requires 4-5+ years in data analysis and experimental design, proficiency in Python, R, and SQL, and expertise in causal inference and high-volume experimentation.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
696
-
ποΈ - Date
November 29, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
San Francisco, CA
-
π§ - Skills detailed
#Python #R #Tableau #Statistics #Data Analysis #Datasets #SQL (Structured Query Language) #A/B Testing #Data Science #Data Pipeline
Role description
Job Title: Data Scientist
Job Location: San Francisco, CA (HYBRID)
Term: Contract opportunity
Must have:- Data analysis and experiment design (user level A/B experiment design and geo-experiment design)
Description:
We are seeking a highly skilled Marketing Analyst with deep expertise in data analysis, experimental design, and causal inference for a short-term leave coverage role. The position is hands-on, focused on measuring causal impact across global marketing initiatives within the Clients Platforms & Devices ecosystem, with a strong emphasis on Google Play. The ideal candidate excels at designing, executing, and evaluating complex experiments at scale.
Key Responsibilities:
β’ Lead end-to-end experimental design, including user-level A/B tests, geo-experiments, and incrementality measurement.
β’ Build and evaluate causal inference models with strong statistical rigor.
β’ Run high-volume experiments (50β100+) and maintain global consistency.
β’ Independently analyze large datasets using Python, R, and SQL.
β’ Develop experimentation playbooks and improve frameworks.
β’ Troubleshoot failed/noisy experiments and apply bias corrections.
β’ Optional: Build dashboards (Tableau) and light data pipelines.
Must-Have Skills:
β’ Strong data analysis and advanced experimental design experience (user-level A/B and geo-experiment design).
β’ 4β5+ years of intensive experimentation; senior profiles (10β12+ years) welcome.
β’ Proven ability to design and run manual causal experiments beyond platform-based A/B tools.
β’ Deep knowledge of statistics, causal inference, and incrementality measurement.
β’ Hands-on coding proficiency in Python, R, and SQL.
β’ Experience with matched-market tests, geo-experiments (TBR, BSTS, Causal Impact), noise/bias correction, and experiment recovery.
β’ Ability to independently run analyses and communicate causal findings clearly.
Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
Job Title: Data Scientist
Job Location: San Francisco, CA (HYBRID)
Term: Contract opportunity
Must have:- Data analysis and experiment design (user level A/B experiment design and geo-experiment design)
Description:
We are seeking a highly skilled Marketing Analyst with deep expertise in data analysis, experimental design, and causal inference for a short-term leave coverage role. The position is hands-on, focused on measuring causal impact across global marketing initiatives within the Clients Platforms & Devices ecosystem, with a strong emphasis on Google Play. The ideal candidate excels at designing, executing, and evaluating complex experiments at scale.
Key Responsibilities:
β’ Lead end-to-end experimental design, including user-level A/B tests, geo-experiments, and incrementality measurement.
β’ Build and evaluate causal inference models with strong statistical rigor.
β’ Run high-volume experiments (50β100+) and maintain global consistency.
β’ Independently analyze large datasets using Python, R, and SQL.
β’ Develop experimentation playbooks and improve frameworks.
β’ Troubleshoot failed/noisy experiments and apply bias corrections.
β’ Optional: Build dashboards (Tableau) and light data pipelines.
Must-Have Skills:
β’ Strong data analysis and advanced experimental design experience (user-level A/B and geo-experiment design).
β’ 4β5+ years of intensive experimentation; senior profiles (10β12+ years) welcome.
β’ Proven ability to design and run manual causal experiments beyond platform-based A/B tools.
β’ Deep knowledge of statistics, causal inference, and incrementality measurement.
β’ Hands-on coding proficiency in Python, R, and SQL.
β’ Experience with matched-market tests, geo-experiments (TBR, BSTS, Causal Impact), noise/bias correction, and experiment recovery.
β’ Ability to independently run analyses and communicate causal findings clearly.
Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.





