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Job Title: Data Scientist (Product & Algorithms)Location: Delhi (Hybrid/Remote)Job Type: Full-timeAbout Us At Best Nanotech, we are on a mission to [insert mission]. We generate massive amounts of data every day, but data without insight is just overhead. We are building a high-performance Data Science team to help us make smarter, faster decisions.The Role We are looking for a Data Scientist who sits at the intersection of coding, statistics, and business strategy.ShutterstockYou won't just be handed a ticket to "build a model." You will partner with Product Managers and Engineers to identify problems, formulate hypotheses, and prototype solutions that scale.Key Responsibilities- Exploratory Analysis: Mine large datasets to uncover trends, patterns, and user behaviors that drive product innovation. - Modeling: Build and validate predictive models (Regression, Classification, Clustering) using Python (Scikit-Learn/Pandas). - Experimentation: Design, execute, and analyze A/B tests to validate product changes. - Data Wrangling: Write complex SQL queries to extract data and build lightweight ETL pipelines for your analysis. - Storytelling: Visualize your findings (using Tableau, Looker, or Matplotlib) and present actionable recommendations to stakeholders. - ShutterstockWhat You Bring (Requirements)- Experience: 3+ years of experience in a Data Science or Analytics role. - Education: Degree in Math, Statistics, Computer Science, Economics, or related quantitative field. - The Toolkit: - Expert-level SQL (Joins, Window Functions, CTEs). - Strong proficiency in Python (preferred) or R. - Experience with libraries like Pandas, NumPy, Scikit-learn. - The Math: Solid grasp of statistics (Hypothesis testing, distributions, bias/variance). - The Soft Skills: Ability to translate complex technical results into plain English for non-technical partners.Bonus Points- Experience with Cloud Data Warehouses (Snowflake, BigQuery). - Experience deploying models as APIs (Flask/FastAPI). - Familiarity with causal inference techniques.How to Apply Click Easy Apply or send your portfolio/GitHub link to talent@