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Job Title: Lead Data Scientist What drives us ? Imagine: a single tap on your phone unlocks a world that transforms your entire car ownership journey, covering every milestone - from finding your perfect match to keeping it running smoothly, to selling it later. That's the future we're building at CARS24 Financial Services. Our mission is to ensure car ownership is stress-free. We want our customers to focus on the open road, not roadside worries. We're building a one-stop shop - a Super App for all their car needs, powered by technology, data science, and deep customer insights. We are already one of the largest Autotech companies in the world, but we are not stopping here. We aim to grow 10x in the next five years. What will you drive ? We are seeking a passionate and skilled Growth Data Scientist who will be responsible for utilizing data science and machine learning techniques to identify, optimize, and drive growth opportunities across our lending products. You 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. Additionally, the role will involve leading a small team of data scientists and analysts, providing mentorship and guidance while fostering a collaborative and innovative environment. Key Responsibilities: Team Leadership & Mentorship: Lead and mentor a team of data scientists and analysts. 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. Customer Segmentation: Build advanced customer segmentation models. A/B Testing & Experimentation: Design and execute A/B tests and multivariate experiments. Data-Driven Insights: Uncover insights from large datasets and deliver actionable recommendations. Automation & Optimization: Leverage data science to automate processes and optimize workflows. Collaboration with Stakeholders: Communicate findings to non-technical stakeholders. Reporting & Metrics Development: Build and maintain dashboards and reports. What are we looking for ? Qualifications: Education: Bachelors or Masters degree in a relevant quantitative field. Experience: 4-6 years of experience in a data science or analytics role focused on growth. Technical Skills: Proficiency in ML 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. Additional Skills: Strong analytical and communication skills. Business acumen in the fintech ,Insurance or lending industry. Proactive problem-solving abilities. Nice to Have: Experience in a lending or credit-risk-focused company. Familiarity with customer journey analytics. Proficiency in advanced ML techniques (e.g., Neural Networks, LLMs). Why Join Us? Innovative Environment: Fast-paced, data-driven environment. Career Growth: Opportunities for advancement. Competitive Compensation: Competitive salary and benefits. Impact: Transform the lending industry with data-driven decisions.
