Job Summary :
We are seeking a highly skilled and intrinsically curious Data Scientist 3 with 47 years of experience, specifically within the demanding consumer internet (B2C) or large-scale product environment. Based in Mumbai, this role is centered on leveraging massive datasets to fuel product innovation. The Data Scientist will be responsible for end-to-end Machine Learning projects, from developing custom algorithms to deploying and monitoring models that directly enhance customer experiences, boost revenue, and power large-scale user-to-user discovery (matchmaking).
Key Responsibilities :
Product Partnership and Strategy :
- Partner closely with Product teams to proactively identify strategic opportunities where data science and Machine Learning can drive product innovation and measurable business impact.
- Apply statistical chops to find meaningful, actionable insights and hidden trends within large, complex datasets to inform product direction.
Model Development and Application :
Preprocess massive structured and unstructured datasets (data engineering proficiency) to prepare for modeling and feature engineering.Build custom models and advanced algorithms from scratch, applying predictive modeling techniques to solve specific, high-impact business problems, including :Enhancing customer experiences (e.g., personalization).Boosting revenue (e.g., pricing optimization, churn prediction).Powering user-to-user discovery (matchmaking at scale).Demonstrate Machine Learning wizardry across critical domains, including recommender systems, Natural Language Processing (NLP), user profiling, image processing, and anomaly detection.Deployment, Monitoring, and MLOps :
Collaborate deeply with Engineering teams to successfully deploy models into real-world, low-latency, and high-scale production environments (specifically for matchmaking experiences).Build robust tools and processes to continuously monitor model performance (e.g., drift detection, bias checking) and ensure data accuracy :Experience : Mandatory 36 years of direct experience in Data Science and Machine Learning, with a focus on consumer internet or B2C products.
Education : Degree in Statistics, Computer Science, or Engineering (or relevant formal certification in Data Science).
Technical Stacks (Mandatory) :
Programming Ninja : Expert-level proficiency in R, Python, and SQL.ML Frameworks : Hands-on experience with key libraries including Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar production-grade frameworks like PyTorch).Skills : Strong analytical ability, proven statistical chops in finding meaningful insights in large datasets, and a demonstrably strong problem-solver mindset.Preferred Skills :
Visualisation Skills : Proficiency with advanced data visualization tools such as Redshift, Tableau, Looker, or similar BI platforms for communicating results to stakeholders.Experience implementing A / B testing frameworks to validate model efficacy and impact on key business metrics.Technical familiarity with cloud computing environments (AWS Sagemaker, Google AI Platform) for model training and deployment.Prior experience working on high-scale, real-time matchmaking or personalization engines.(ref : hirist.tech)
