Experience: 3–5 Years
Location: Pune – Kalyani Nagar
Work Mode: On-site at Client Office

About the Role

We are looking for an experienced Data Scientist / Decision Scientist to work with our client's analytics team.

The role requires someone who is solid at understanding data, identifying patterns, forming hypotheses, performing analysis and applying machine learning techniques to solve business problems.

The ideal candidate should be able to move beyond simply reporting numbers and help answer important business questions:
What is happening?
Why is it happening?
What patterns can we identify?
What is likely to happen next?
What should the business do about it?

You will work closely with business and analytics stakeholders to analyse complex datasets and convert data into actionable insights.

Key Responsibilities

Analyse large and complex datasets to identify patterns, trends, anomalies and business opportunities.
Perform exploratory data analysis and root-cause analysis.




Work with business stakeholders to understand problems and translate them into analytical questions and hypotheses.
Perform statistical analysis and hypothesis testing where relevant.
Apply machine learning techniques to business and analytical problems.
Perform data preparation and feature engineering where required.
Conduct customer, product and business analysis, including segmentation, funnel analysis and cohort analysis.
Develop appropriate KPIs and analytical frameworks to measure business performance.
Present findings and recommendations clearly to technical and business stakeholders.
Convert complex data analysis into actionable business insights and recommendations.
Work closely with the client's analytics and business teams.

Required Skills

Python for Data Analysis
Strong hands-on experience with:
Python
Pandas
NumPy
Scikit-learn
Ability to clean, transform, analyse and work with datasets using Python.

Advanced SQL
Strong SQL skills, including:
Complex joins and aggregations
Co

📌 Data Scientist (Pune)
🏢 Attributics
📍 Pune