Product Data Scientist

This is a fully remote position, open to applicants in Argentina, +2 more countries.

📋 Description

• Collaborate with Product Managers and vertical leadership to identify, assess, and prioritize growth opportunities throughout the consumer journey.

• Define key performance indicators, funnel metrics, and performance drivers.

• Conduct in-depth analyses of consumer behavior, identify friction points, and examine performance trends.

• Convert ambiguous business inquiries into clear analytical strategies and actionable insights.

• Manage the complete experimentation lifecycle, including hypothesis formulation, test design, statistical evaluation, and measurement of business impact.

• Create predictive and statistical models that enhance consumer experiences.

• Work closely with Product and Engineering teams to turn insights into consumer-oriented features.

• Utilize SQL, Python, Databricks, and BI tools to conduct analyses and generate reports.

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

• Streamline recurring analytical processes through automation.

• Effectively communicate findings to both technical and non-technical stakeholders.

• Foster a culture of data-driven product development across teams.

⛳️ Requirements

• A minimum of 3 years of professional experience in data science, product analytics, or a related analytical field.

• Proven track record of influencing product decisions using data insights.

• Strong expertise in SQL and Python for data exploration, statistical evaluation, automation, and predictive modeling.

• Practical experience with Databricks for analytical processes, data handling, or model creation is essential.

• Expertise in designing, analyzing, and interpreting A/B tests, including understanding statistical significance, power analysis, and common pitfalls in experimentation.

• Solid understanding of product analytics, encompassing funnel optimization, metric creation, cohort analysis, and behavioral segmentation.

• Familiarity with applied statistics and machine learning methods, such as regression, classification, propensity modeling, and/or causal inference.

• Experience in developing dashboards and automating analytical workflows using contemporary BI and data tools.

• Exceptional communication and collaboration abilities to influence Product Managers, Engineers, and business stakeholders through data-driven recommendations.

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

• Legal authorization to work in the country where the position is based.

🏝️ Benefits

• Equal opportunity employer.

• An inclusive environment that emphasizes continuous learning, innovation, and ethical AI standards.

• Collaboration with a diverse global team across various continents and cultures.

• Opportunity to engage in real-world AI-driven projects across key industries.

• Professional development through ongoing learning and innovation.