

Solomon Page
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with expertise in statistical inference and causal analysis, offering $60–70/hr on W2 for a contract length of unspecified duration. Key skills include Python, SQL, A/B testing, and experience in retail or operations research.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Pleasanton, CA
-
🧠 - Skills detailed
#Scala #Azure #SQL (Structured Query Language) #Python #Databricks #Cloud #GCP (Google Cloud Platform) #Strategy #A/B Testing #GitHub #Libraries #AWS (Amazon Web Services) #Data Science
Role description
We are seeking a Data Scientist with strong expertise in statistical inference and causal analysis to design and develop scalable measurement frameworks for enterprise solutions. This role is ideal for someone passionate about experimental design, causal inference methodologies, and impact measurement at scale. The ideal candidate will work closely with stakeholders to define KPIs, design experiments, and deliver data-driven insights that influence business decisions.
• Rate Range – $60–70/hr on W2
Responsibilities:
• Design and implement measurement frameworks for production-grade solutions
• Apply statistical inference and causal analysis methods including:
• A/B testing
• Propensity score matching
• Instrumental variables
• Develop and analyze controlled experiments and observational studies
• Collaborate with stakeholders to define KPIs and measurement strategies
• Write clean, scalable, and reproducible code for statistical analysis and reporting
• Implement CI/CD best practices and manage code repositories using GitHub Enterprise
• Translate complex statistical findings into actionable business insights
Required Qualifications:
• Strong understanding of:
• Hypothesis testing
• Ordinary Least Squares (OLS)
• Generalized Linear Models (GLM)
• Causal inference techniques
• Proficiency in Python and SQL
• Experience with libraries such as:
• statsmodels
• scikit-learn
• DoWhy
• linearmodels
• Hands-on experience with A/B testing and experimental design
• Familiarity with Databricks or similar enterprise data platforms
• Ability to work independently with a strong ownership mindset
Preferred Qualifications:
• Experience in retail, inventory management, or operations research domains
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience working in enterprise-scale data environments
• Strong problem-solving and analytical thinking skills
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
Opportunity Awaits.
We are seeking a Data Scientist with strong expertise in statistical inference and causal analysis to design and develop scalable measurement frameworks for enterprise solutions. This role is ideal for someone passionate about experimental design, causal inference methodologies, and impact measurement at scale. The ideal candidate will work closely with stakeholders to define KPIs, design experiments, and deliver data-driven insights that influence business decisions.
• Rate Range – $60–70/hr on W2
Responsibilities:
• Design and implement measurement frameworks for production-grade solutions
• Apply statistical inference and causal analysis methods including:
• A/B testing
• Propensity score matching
• Instrumental variables
• Develop and analyze controlled experiments and observational studies
• Collaborate with stakeholders to define KPIs and measurement strategies
• Write clean, scalable, and reproducible code for statistical analysis and reporting
• Implement CI/CD best practices and manage code repositories using GitHub Enterprise
• Translate complex statistical findings into actionable business insights
Required Qualifications:
• Strong understanding of:
• Hypothesis testing
• Ordinary Least Squares (OLS)
• Generalized Linear Models (GLM)
• Causal inference techniques
• Proficiency in Python and SQL
• Experience with libraries such as:
• statsmodels
• scikit-learn
• DoWhy
• linearmodels
• Hands-on experience with A/B testing and experimental design
• Familiarity with Databricks or similar enterprise data platforms
• Ability to work independently with a strong ownership mindset
Preferred Qualifications:
• Experience in retail, inventory management, or operations research domains
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience working in enterprise-scale data environments
• Strong problem-solving and analytical thinking skills
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
Opportunity Awaits.






