Product Data Scientist

Solvd; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

We are seeking a Product Data Scientist to partner with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis and applied machine learning. You will work with Product Managers, Engineers, and business stakeholders to identify opportunities, influence

Qualifications

• 3+ years of professional experience in data science, product analytics, or a related analytical discipline.
• 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 — required.
• Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls.
• Strong understanding of product analytics - funnel optimization, metric development, cohort analysis, and behavioral segmentation.
• Working knowledge of applied statistics and machine learning techniques - 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 - able to influence Product Managers, Engineers, and business stakeholders through data‑backed recommendations.
• Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience.

Responsibilities

• Identify, size, and prioritize growth opportunities across the consumer journey.
• Establish metric frameworks - north-star metrics, funnel definitions, and performance drivers.
• Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends.
• Translate ambiguous business questions into clear analytical approaches and actionable recommendations.
• Own the full experimentation lifecycle - hypothesis development, test design, statistical analysis, and business impact measurement.
• Develop predictive and statistical models that improve consumer experiences.
• Collaborate with Product and Engineering teams to translate findings into consumer-facing features.
• Use SQL, Python, Databricks and BI tools to deliver analyses and reporting.
• Build and maintain metric definitions, dashboards, and measurement frameworks.
• Automate recurring analytical processes.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Promote a data-driven product development culture across teams.

Skills

SQL

Python

Databricks

AB testing

Product analytics

Statistics

Machine learning

Dashboards

BI tools

Communication

Education

Bachelor’s or advanced degree in quantitative field

Job description

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery - from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Product Data Scientist to partner closely with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis, experimentation, and applied machine learning.

You will work alongside Product Managers, Engineers, and business stakeholders to identify opportunities, influence product decisions, and measure the impact of new features - from optimizing how consumers discover and compare financial products to developing predictive tools such as approval odds and personalized recommendations.

This is a hands‑on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship.

What you’ll do

Product strategy & growth

• Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey.

• Establish metric frameworks - north-star metrics, funnel definitions, and performance drivers.

• Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends.

• Translate ambiguous business questions into clear analytical approaches and actionable recommendations.

Experimentation & applied data science

• Own the full experimentation lifecycle - hypothesis development, test design, statistical analysis, and business impact measurement.

• Develop predictive and statistical models that improve consumer experiences.

• Collaborate with Product and Engineering teams to translate findings into consumer‑facing features.

Analytics practices & tooling

• Use SQL, Python, Databricks, and BI tools to deliver analyses and reporting.

• Build and maintain metric definitions, dashboards, and measurement frameworks.

• Automate recurring analytical processes.

• Communicate findings clearly to both technical and non‑technical stakeholders.

• Promote a data-driven product development culture across teams.

Required skills & experience

• 3+ years of professional experience in data science, product analytics, or a related analytical discipline — with 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 — required.

• Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls.

• Strong understanding of product analytics - funnel optimization, metric development, cohort analysis, and behavioral segmentation.

• Working knowledge of applied statistics and machine learning techniques - 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 - able to influence Product Managers, Engineers, and business stakeholders through data‑backed recommendations.

• Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience.

When you join Solvd, you'll…

• Shape real‑world AI‑driven projects across key industries, working with clients from startup innovation to enterprise transformation.

• Be part of a global team with equal opportunities for collaboration across continents and cultures.

• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

If you’re excited to build things that matter, champion responsible AI, and grow with some of the industry's sharpest minds.

Solvd is an equal opportunity employer.