Product Data Scientist

The role

You will partner with Credit Cards and Banking product teams to shape product strategy and drive growth. You will use analysis, experimentation, and applied machine learning to influence product decisions and measure feature impact.

What you will do

• Partner with Product Managers and vertical leadership to identify and prioritize growth opportunities.
• Establish metric frameworks including north-star metrics and funnel definitions.
• Lead deep-dive analyses to understand consumer behavior and performance trends.
• Translate business questions into analytical approaches and recommendations.
• Own the full experimentation lifecycle including hypothesis development and test design.
• Develop predictive and statistical models to improve consumer experiences.
• Collaborate with Product and Engineering teams to translate findings into features.
• Use SQL, Python, Databricks, and BI tools for analysis and reporting.
• Build and maintain metric definitions, dashboards, and measurement frameworks.
• Automate recurring analytical processes.

Required qualifications

• 3+ years of professional experience in data science, product analytics, or a related analytical discipline.
• Demonstrated experience influencing product decisions through data.
• Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling.
• Hands-on experience with Databricks for analytical workflows, data processing, or model development.
• Proven experience designing, analyzing, and interpreting A/B tests.
• Strong understanding of product analytics including funnel optimization, metric development, cohort analysis, and behavioral segmentation.
• Working knowledge of applied statistics and machine learning techniques such as regression, classification, propensity modeling, and/or causal inference.
• Experience developing dashboards and automating analytical workflows using modern BI and data tools.
• Excellent communication and collaboration skills.
• Bachelor's or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience.

Benefits

• Shape real-world AI-driven projects.
• Global team with equal opportunities for collaboration.
• Inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

About the company

Solvd Inc. is an AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. Following the acquisition of Tooploox, Solvd offers end-to-end delivery from strategic advisory to custom AI development.