Manager, Data Science (Product Analytics)

Accountabilities:

• Lead and manage a team of approximately seven data scientists, ensuring high-quality delivery of product analytics insights and reporting

• Oversee the timely production of accurate quantitative analysis to support product strategy, feature evaluation, and impact measurement

• Partner with product managers, engineers, and research teams to embed data-informed decision-making across product development cycles

• Design and improve experimentation frameworks, measurement systems, and product health metrics to support scalable analysis

• Collaborate with data engineering and experimentation platform teams to build accessible and reliable data products

• Guide the development of dashboards, reports, and visualization tools that improve data accessibility and interpretation

• Mentor team members in statistical thinking, storytelling with data, stakeholder communication, and technical development

• Ensure consistency, rigor, and accuracy in analytical processes, balancing speed with methodological robustness

• Foster a collaborative, inclusive, and high-performing team culture grounded in trust and accountability

Requirements:

• Proven experience in experimental design, statistics, and analysis of large-scale user or product data

• Prior experience managing or leading a team of data scientists or analysts in a product-driven environment

• Strong background in product analytics, experimentation frameworks, and user behavior analysis

• Experience working with large-scale data systems and tools such as Hadoop, Hive, Presto, or Spark

• Ability to translate complex data insights into clear, actionable recommendations for cross-functional stakeholders

• Strong collaboration skills with product, engineering, and research teams in fast-paced environments

• Demonstrated commitment to equity, inclusion, and inclusive leadership practices

• Excellent communication, mentoring, and stakeholder management abilities

• Strong critical thinking, curiosity, and ability to operate in ambiguous and complex environments

• Experience with data visualization or experimentation tools such as Superset or GrowthBook is a plus

• Alignment with mission-driven work and openness to contributing in a collaborative, open knowledge ecosystem

Benefits:

• Remote-first working model with global collaboration flexibility

• Competitive compensation aligned with experience and location

• Opportunity to lead and scale a high-impact data science team

• Strong emphasis on professional growth, mentorship, and continuous learning

• Inclusive, mission-driven work environment focused on open knowledge and collaboration

• Exposure to large-scale product analytics challenges and experimentation systems

• Flexible work structure with meaningful impact on product and user experience

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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