Manager, Data Science (Product Analytics) in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Science (Product Analytics) in India.

In this role, you will lead a high-performing team of data scientists focused on product analytics, driving data-informed decision-making across product development and strategy. You will oversee the delivery of actionable insights that shape user experience, feature development, and product impact assessment at scale. Acting as a key partner to product managers, engineers, and designers, you will help embed a strong culture of experimentation and evidence-based decision-making. The position requires balancing speed and rigor in a fast-evolving environment while ensuring data quality and consistency. You will also play a central role in building scalable data products and analytics frameworks that improve accessibility and usability of insights. This is a highly collaborative leadership role within a mission-driven, global, and remote-first environment.

• Lead and manage a team of approximately seven data scientists, ensuring high-quality delivery of product analytics, insights, and reporting that support strategic and tactical decision-making.
• Drive experimentation, measurement frameworks, and product performance tracking to evaluate user behavior, feature impact, and overall product health.
• Establish and maintain standardized data processes to ensure accuracy, consistency, and reliability across analytics outputs.
• Collaborate closely with product, engineering, and research teams to embed data-driven practices into product development cycles.
• Contribute to the design and improvement of scalable data tools, dashboards, and visualization systems to enhance stakeholder access to insights.
• Mentor and coach team members in statistical thinking, experimentation design, storytelling with data, and stakeholder communication.

Requirements:

• Strong experience in data science or product analytics, with deep expertise in experimental design, A/B testing, and statistical analysis at scale.
• Proven experience managing and developing data science or analytics teams in a fast-paced, product-driven environment.
• Hands-on experience working with large-scale data systems and tools such as Hadoop, Hive, Spark, or Presto.
• Strong ability to translate complex data findings into clear, actionable insights for technical and non-technical stakeholders.
• Demonstrated experience working closely with product and engineering teams to influence product strategy and decisions.
• Strong communication, mentoring, and stakeholder management skills with a collaborative and inclusive leadership style.
• Commitment to equity, inclusion, ethical data practices, and responsible use of data.
• Curiosity, adaptability, and the ability to thrive in ambiguous and evolving environments.

Benefits:

• Remote-first work environment with global collaboration opportunities.
• Flexible working model aligned with cross-time-zone collaboration needs.
• Opportunity to lead impactful data science work influencing global-scale products.
• Exposure to advanced experimentation platforms and modern data infrastructure.
• Supportive and mission-driven culture focused on learning, openness, and inclusion.
• Opportunities for international travel for team offsites and conferences (up to four times per year).