Data Scientist - Analytics

About the Role:

• This role is part of the supply planning team, responsible for implementing strategies to optimize driver availability based on user demand.
• You'll ensure efficient driver utilization and earnings while balancing cost-effectiveness.
• The team leverages AI-driven models to forecast demand, estimate supply needs, design effective driver zones, price offerings, and provide timely nudges to help drivers position themselves strategically.
• You'll collaborate closely with cross-functional teams, including Product, Business, Engineering, Design, and Data Science, to understand data requirements, identify and track key metrics, and provide actionable insights.
• Additionally, you’ll partner with stakeholders to assess the feasibility of new business/product ideas and offer data-backed recommendations.
• Understand business requirements and desired outcomes to ensure data-driven decision-making.
• Conduct in-depth analysis for specific products and operations, define key metrics, track them consistently, and recommend continuous improvements.
• Frame business scenarios and propose features that impact essential business processes and decisions.
• Transform data into clear insights through reports, presentations, and dashboards, consolidating data from multiple sources to create comprehensive views for decision-making.
• Develop data pipelines and custom data science models to address identified challenges.
• Launch A/B tests, perform causal inference studies, analyze results, and offer recommendations based on findings.

About the Requirements

• Minimum of 6 years in data-related or quantitative roles, with experience in D2C or B2C environments such as Marketplaces, E-commerce, Omni-commerce, or Retail Marketing Analytics.
• Strong problem-solving abilities, with experience navigating complex problems and proposing innovative solutions that go beyond conventional methods.
• Ability to influence both your team and cross-functional partners, with the skill to effectively convince senior stakeholders.
• Expertise in designing experiments, data visualization, and storytelling, with proficiency in creating intuitive and impactful dashboards using PowerBI or Tableau.
• Proficiency in SQL, Python, R, or similar scripting/programming languages, with comfort handling large datasets and complex ETL processes.