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 strong 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
- Common Table Expressions (CTEs)
- Window functions
- Subqueries
- Query optimization
- Data validation and reconciliation

Statistical Analysis

Working knowledge of statistical concepts and the ability to apply them to real business problems, including:

- Hypothesis testing
- Basic regression concepts
- Probability and distributions
- Confidence intervals and statistical significance

Machine Learning

- Practical understanding of common machine learning techniques and when to apply them, including:
- Classification
- Regression
- Clustering
- Feature engineering
- Model evaluation

Exploratory Data Analysis (EDA)

Ability to independently explore unfamiliar datasets and:

- Identify patterns and trends
- Detect anomalies
- Investigate data issues
- Perform root-cause analysis
- Form and test hypotheses

Business Analytics & Decision Science

- Ability to connect analysis with business decisions.
- Experience with:
- KPI analysis
- Customer segmentation
- Funnel analysis
- Cohort analysis
- Behavioural analysis
- Business performance analysis
- Translating insights into actionable recommendations

Experience Required

- 3–5 years of experience in Data Science, Data Analytics, Decision Science or a similar analyticalrole.




- Strong hands-on experience using Python and SQL for data analysis.
- Experience working with large and complex datasets.
- Practical experience applying statistical and machine learning techniques to real-world businessproblems.
- Ability to independently investigate a business problem using data.
- Strong analytical and problem-solving skills.
- Ability to communicate insights clearly to both technical and business stakeholders.

What We Are Looking For

We are looking for someone who does not simply wait for a business stakeholder to tell them exactly which report to create.

The ideal candidate should be able to take a problem such as:

“Customer conversion has dropped.”

And independently think through questions such as:

- Which customer segments are affected?
- When did the decline start?
- Has customer behaviour changed?
- Is the problem related to a particular channel, product or cohort?
- Is the change statistically significant?
- What hypotheses can explain the decline?
- Can data help identify customers or segments that may be at risk?
- What action should the business take?

Work Location

This is an in office role, and the selected candidate will be required to work from the client's office in Kalyani Nagar, Pune

Selection Process The selection process will focus on practical analytical ability and may include:

- Resume screening.
- Python and SQL assessment.
- Data analysis / case study.
- Technical interview covering statistics, machine learning and analytical problem-solving.
- Discussion on previous projects and business problems solved.

We are looking for someone who can combine strong analytical and data science skills with business thinking — someone who can go from raw data to hypothesis, analysis, insight and action.

📌 Data Scientist / Decision Scientist (Pune)
🏢 Attributics
📍 Pune