Data Scientist

Best NanoTech; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology company in Hyderabad is searching for a Data Scientist to join their high-performance team. The ideal candidate will have over 3 years of experience in data science, a strong command of SQL and Python, as well as a solid understanding of statistical methodologies. Key responsibilities include conducting exploratory analysis, developing predictive models, and using data to inform product decisions. This full-time role is pivotal in driving data-driven insights and innovation at the company.

Qualifications

• 3+ years of experience in a Data Science or Analytics role.
• Expert-level SQL (Joins, Window Functions, CTEs).
• Strong proficiency in Python (preferred) or R.
• Solid grasp of statistics (Hypothesis testing, distributions, bias/variance).
• Ability to translate complex technical results into plain English.

Responsibilities

• Mine large datasets to uncover trends to drive product innovation.
• Build and validate predictive models using Python (Scikit-Learn/Pandas).
• Design, execute, and analyze A/B tests for product validation.
• Write complex SQL queries to extract data.
• Visualize findings and present actionable recommendations to stakeholders.

Skills

SQL

Python

Statistics

Data Visualization

A/B Testing

Data Wrangling

Education

Degree in Math, Statistics, Computer Science, Economics, or related field

Tools

Scikit-learn

Pandas

NumPy

Tableau

Looker

Matplotlib

Job description

Data Scientist (Product & Algorithms)

Full-time

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.

We are looking for a Data Scientist who sits at the intersection of coding, statistics, and business strategy.

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.

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 [e-mail]

Seniority level

Entry level

Employment type

Full-time

Job function

Design and Engineering

Industries

Computers and Electronics Manufacturing, IT Services and IT Consulting, and Computer and Network Security

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