Product Data Scientist

Solvd, Inc.

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

Posted 11/5/2026full-timeRemote • Argentina, Brazil, ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data science and product analytics, with strong proficiency in SQL and Python for statistical analysis and predictive modeling. Ability to influence product decisions through data-driven insights and effective communication with cross-functional teams.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyDatabricks ExperienceA/B Testing AnalysisPredictive Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceProduct AnalyticsStatistical AnalysisFunnel OptimizationCohort AnalysisBehavioral SegmentationApplied StatisticsMachine Learning TechniquesDashboard DevelopmentAutomation of Analytical Workflows

Soft Skills

Excellent CommunicationCollaboration SkillsInfluencing Stakeholders

Tools & Technologies

DatabricksBI Tools

Industry Keywords

Consumer JourneyGrowth OpportunitiesExperimentation LifecycleMetric DefinitionsData-Driven Culture

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey
Establish north-star metrics, funnel definitions, and performance drivers
Lead deep-dive analyses of consumer behavior, friction points, and performance trends
Translate ambiguous business questions into clear analytical approaches and actionable recommendations
Own the full experimentation lifecycle, including 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 technical and non-technical stakeholders
Promote a data-driven product development culture across teams

Requirements

What you’ll need

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 — required
Experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls
Strong understanding of product analytics, including funnel optimization, metric development, cohort analysis, and behavioral segmentation
Working knowledge of applied statistics and machine learning techniques, including 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 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
Legal right to work in the country where the role is based

Benefits

Comp & perks

Equal opportunity employer
Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards
Collaboration with a global team across continents and cultures
Opportunity to work on real-world AI-driven projects across key industries
Professional growth through continuous learning and innovation