Data Scientist

Job Title: Data Scientist Company: VenPep Group Job Category: Data Science Roles & Responsibilities: Analytics \& Modelling * Build, validate and deploy ML models for marketing use cases: audience segmentation, lead scoring and propensity, churn prediction, LTV estimation, demand/spend forecasting, and campaign attribution. * Design and analyse A/B and multivariate experiments — define hypotheses, compute sample sizes, control for bias, and state results with confidence intervals rather than point estimates. * Perform exploratory analysis on large marketing and web datasets; translate findings into clear recommendations for client and internal stakeholders. Generative AI \& RAG * Build and improve retrieval\-augmented generation pipelines: document ingestion, chunking strategy, embedding generation, vector storage and retrieval evaluation. * Develop and tune prompts, evaluation harnesses and guardrails for LLM\-backed assistants; measure quality with objective metrics (groundedness, retrieval precision/recall, latency, cost per request). * Contribute to agentic and tool\-calling workflows where LLMs invoke internal APIs and business tools. Data \& Engineering * Write production\-grade Python; build reproducible feature pipelines and transformations over the lakehouse/warehouse. * Own the full model lifecycle — versioning, offline/online evaluation, deployment, monitoring and retraining triggers; detect and respond to data and concept drift. * Produce clear documentation: data dictionaries, model cards, assumptions, limitations and evaluation results. Work Location: Coimbatore, Tamil Nadu, India Availability: Full time

Required Qualifications * 2–3 years of hands\-on data science or applied ML experience in a product or client\-delivery environment (internships and academic projects do not substitute for production experience). * Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. * Python — strong proficiency with pandas, NumPy, scikit\-learn; clean, testable, modular code (not notebook\-only). * SQL — comfortable with joins, window functions, CTEs and query optimisation over large tables. * Solid grounding in statistics: hypothesis testing, regression, resampling, bias/variance, and the difference between correlation and causation. * Practical experience with at least one of: gradient boosting (XGBoost/LightGBM), time\-series forecasting, or NLP. * Demonstrated experience with LLM APIs or frameworks — prompt design, embeddings, or a RAG implementation taken beyond a demo. * Version control with Git and collaborative PR\-based workflows. * Clear written and spoken English; able to explain a model’s behaviour to a non\-technical stakeholder. Preferred (Good To Have) * AWS experience — S3, Lambda, Bedrock, SageMaker, Athena, or Aurora PostgreSQL. * Vector search in production — pgvector, OpenSearch, or similar, including retrieval evaluation. * Spark / Databricks or equivalent distributed processing. * MLOps tooling: MLflow, model registries, CI/CD for ML, containerisation. * Marketing/adtech domain exposure — GA4, Meta/Google Ads data, HubSpot or other CRM data models, attribution modelling. * Dashboarding and storytelling: Power BI, Streamlit, or similar. * Open\-source contributions, Kaggle results, or a public portfoli Key Skills: Data Science, Python, SQL, Pandas, NumPy, Statistics, Machine Learning, Power BI, Tableau Salary: INR 400000 - 500000 per yearly