Growth Data Science Professional

4 days ago

Delhi Gurgaon Gurugram Delhi NCR, India beBeeData Full time US$ 1,20,000 - US$ 2,00,000
Job Description

Transform your career by driving growth in our cutting-edge data science team.

We're on a mission to revolutionize the car ownership experience, making it stress-free and enjoyable for our customers. Our vision is to build a one-stop-shop for all their car needs, powered by technology, data science, and deep customer insights.

To achieve this goal, we're seeking a talented Growth Data Scientist who will utilize data science and machine learning techniques to identify, optimize, and drive growth opportunities across our lending products.

The ideal candidate will collaborate with cross-functional teams, including sales, product, engineering, credit, risk, and engineering teams to design data-driven solutions and implement them in the consumer journey to improve key business metrics.

As a leader in our data science team, you'll be responsible for:

  • Team Leadership & Mentorship: Lead and mentor a team of data scientists and analysts to foster a collaborative and innovative environment.
  • Predictive Modeling: Develop predictive models for cross-sell propensity, customer churn, pricing, and text mining.
  • Growth Strategy Support: Collaborate with sales, product, risk, credit, and operations teams to drive growth opportunities.
  • Customer Segmentation: Build advanced customer segmentation models to enhance our understanding of customer behavior.
  • A/B Testing & Experimentation: Design and execute A/B tests and multivariate experiments to inform data-driven decisions.
  • Data-Driven Insights: Uncover valuable insights from large datasets and deliver actionable recommendations to stakeholders.
  • Automation & Optimization: Leverage data science to automate processes and optimize workflows, increasing efficiency and productivity.
  • Collaboration with Stakeholders: Communicate complex findings to non-technical stakeholders, ensuring seamless collaboration and decision-making.
  • Reporting & Metrics Development: Build and maintain dashboards and reports to provide visibility into key performance indicators.

What We're Looking For

Qualifications:

  • Education: Bachelor's or Master's degree in a quantitative field (e.g., mathematics, statistics, computer science).
  • Experience: 4-6 years of experience in a data science or analytics role focused on growth.

Key Skills:

  • Proficiency in machine learning techniques (clustering, regression, XGBoost, NLP).
  • Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow).
  • Expertise in SQL and experience with large datasets.
  • Knowledge of data visualization tools (e.g., Tableau) and MS Excel.

Nice to Have:

  • Experience in a lending or credit-risk-focused company.
  • Familiarity with customer journey analytics.
  • Proficiency in advanced machine learning techniques (e.g., neural networks, LLMs).

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