Manager, Data Science (Product Analytics)
IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Required Skills
- HadoopProduct AnalyticsData scienceSparkA/B testing
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.
Responsibilities
- 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.
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