Product Data Scientist - (Product Analytics, Payments / E-Commerce) - Only W2 Contract
Company: Xforia Global Talent Solutions
Location: Cupertino, CA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-11-04
About this role
*Job Details*
Product Data Scientist
Long Term Contract
100% Remote
Domain:
Product Analytics, Payments, Commerce/E-Commerce
Role Type
: Hands-on Data Science and Product Analytics
*Key Responsibilities:*
- Perform exploratory data analysis (EDA) and ad-hoc analysis to identify trends, opportunities, and areas for product improvement.
- Define and track key product performance metrics (KPIs), including product adoption, customer retention, conversion rates, and transaction success rates.
- Design, execute, and evaluate A/B tests and experiments to measure the impact of product features and business initiatives.
- Develop predictive models and machine learning solutions to improve customer experience and business performance.
- Analyze product launches, measure their impact, and recommend optimization opportunities.
- Translate complex data into actionable insights and present recommendations to Product, Business, Engineering, and leadership teams.
- Work closely with cross-functional teams to understand business requirements and develop data-driven solutions.
- Build and maintain data science pipelines and analytical solutions.
- Explore AI and Generative AI use cases to improve product capabilities and business outcomes.
- Support data quality, governance, and responsible data usage.
*Tools, Technologies & Required Skills:*
*Programming & Data Platforms*
- Strong hands-on experience with Python and SQL.
- Experience with relational databases and large-scale data platforms.
- Experience developing data pipelines and processing large datasets.
*Machine Learning & Predictive Analytics*
- Hands-on experience with classification, regression, clustering, and anomaly detection.
- Experience developing, evaluating, and optimizing machine learning models.
- Knowledge of predictive modeling, feature engineering, and model performance evaluation.
- Familiarity with ML libraries such as scikit-learn, XGBoost, or equivalent tools.
***Statist...