Data Scientist

Job Title: Data Scientist (Product & Algorithms) Location: Delhi (Hybrid/Remote) Job Type: Full-time About 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. Shutterstock You 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. Shutterstock What 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 [HIDDEN TEXT]