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 talent@bestnanotech.in