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.

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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.
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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 [Confidential Information]