Role Overview We re hiring a Data Scientist to help us unlock growth through advanced analytics and machine learning This role sits at the intersection of marketing performance product optimization and decision science You ll partner closely with Paid Media Product and Engineering to build models generate insight and influence how we acquire retain and monetize users From campaign ROI to user segmentation and funnel optimization your work will directly shape how we grow This role is ideal for someone who thrives on business impact communicates clearly and wants to build re-usable production-ready insights not just run one-off analyses Roles and Responsibilities o Own end-to-end modelling of LTV user segmentation retention and marketing efficiency to inform media optimization and value attribution o Collaborate with Paid Media and RevOps to optimize SEM performance predict high value cohorts and power strategic bidding and targeting Product Growth Analyticso Work closely with Product Insights and General Managers GMs to define core metrics KPIs and success frameworks for new launches and features o Conduct deep-dive analysis of user behaviour funnel performance and product engagement to uncover actionable insights o Monitor and explain changes in key product metrics identifying root causes and business impact o Work closely with Data Engineering to design and maintain scalable data pipelines that support machine learning workflows model retraining and real-time inference Predictive Modelling Machine Learning o Build predictive models for conversion churn revenue and engagement using regression classification or time-series approaches o Identify opportunities for prescriptive analytics and automation in key product and marketing workflows o Support development of reusable ML pipelines for production-scale use cases in product recommendation lead scoring and SEM planning Collaboration Communication o Present insights and recommendations to a variety of stakeholders from ICs to executives in a clear and compelling manner o Translate business needs into data problems and complex findings into strategic action plans o Work cross-functionally with Engineering Product BI and Marketing to deliver and deploy your work What You ll Bring Minimum Qualifications o Bachelor s degree in a quantitative field Mathematics Statistics CS Engineering etc o 5 years in data science growth analytics or decision science roles o Solid SQL and Python skills Pandas Scikit-learn NumPy o Hands-on experience with Tableau Looker or similar BI tools o Familiarity with LTV modelling retention curves cohort analysis and media attribution o Experience with GA4 Google Ads Meta or other performance marketing platforms o Clear communication skills and a track record of turning data into decisions Nice to Have Skills o Experience with BigQuery and Google Cloud Platform or equivalent o Familiarity with affiliate or lead-gen business models o Exposure to NLP LLMs embeddings or agent-based analytics o Ability to contribute to model deployment workflows e g using Vertex AI Airflow or Composer

📌 Data Scientist (India)
🏢 Domnic Lewis
📍 India