Senior Product Data Scientist
About The Position
Conduct deep-dive analyses on key business trends from multiple angles, delivering insights in clear, actionable presentations. Design visually engaging data outputs that are intuitive for end-users to explore and understand. Define critical metrics and develop executive-facing dashboards to monitor business performance and track progress on high-priority initiatives. Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions. Collaborate with teams across Risk, Product, Marketing, and others to analyze performance trends, identify root causes, and solve complex challenges. Facilitate new product launches by developing test-and-control plans and implementing continuous monitoring to assess product performance. Build strong relationships with stakeholders, proactively anticipating and addressing potential executive inquiries. Bachelor's or Master's degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience. 2-4 plus years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists. Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud). Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches. Expertise in synthesizing complex data into clear, actionable insights and narratives. Experience working with large, multi-dimensional datasets and solving analytical challenges. Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable. Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis. Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights. Industry experience in payments, eCommerce, or financial services is a plus. Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
Requirements
- Bachelor's or Master's degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.
- 2-4 plus years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists.
- Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud).
- Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches.
- Expertise in synthesizing complex data into clear, actionable insights and narratives.
- Experience working with large, multi-dimensional datasets and solving analytical challenges.
- Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis.
- Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights.
- Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
Nice To Haves
- Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable.
- Industry experience in payments, eCommerce, or financial services is a plus.
Responsibilities
- Conduct deep-dive analyses on key business trends from multiple angles, delivering insights in clear, actionable presentations.
- Design visually engaging data outputs that are intuitive for end-users to explore and understand.
- Define critical metrics and develop executive-facing dashboards to monitor business performance and track progress on high-priority initiatives.
- Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions.
- Collaborate with teams across Risk, Product, Marketing, and others to analyze performance trends, identify root causes, and solve complex challenges.
- Facilitate new product launches by developing test-and-control plans and implementing continuous monitoring to assess product performance.
- Build strong relationships with stakeholders, proactively anticipating and addressing potential executive inquiries.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
