Job Description

Job Title: Data Scientist

Experience: 4–7 Years

Location: Mumbai / Pune

Job Summary

We are looking for an experienced and results-driven Data Scientist with 4–7 years of hands-on experience to join our analytics team in Mumbai or Pune. The ideal candidate will have strong expertise in data analysis, machine learning, and statistical modeling, along with the ability to translate complex data into actionable business insights.

Key Responsibilities

Analyze large, complex datasets to identify trends, patterns, and insights that support business decision-making
Design, develop, and deploy machine learning models (predictive, classification, recommendation, etc.)
Perform data preprocessing, feature engineering, and model validation
Collaborate with product managers, business stakeholders, and engineering teams to define data-driven solutions
Build and maintain dashboards, reports, and visualizations to communicate findings effectively
Apply statistical techniques to solve real-world business problems
Optimize and monitor model performance over time
Ensure data quality, integrity, and governance best practices
Document methodologies, processes, and results for knowledge sharing

Required Skills and Qualifications

4–7 years of professional experience as a Data Scientist or in a similar role
Strong proficiency in Python or R
Hands-on experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.)
Solid understanding of statistics, probability, and linear algebra
Experience working with SQL and relational databases
Exposure to big data technologies (Spark, Hadoop) is a plus
Strong data visualization skills using tools like Tableau, Power BI, Matplotlib, Seaborn, etc.
Experience working with structured and unstructured data
Ability to translate business requirements into analytical solutions

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
Experience in cloud platforms such as AWS, Azure, or GCP
Knowledge of MLOps, model deployment, and monitoring frameworks
Prior experience in domains such as BFSI, Retail, Healthcare, or E-commerce is an advantage

Key Competencies

Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Ability to work independently and in cross-functional teams
High attention to detail with a business-oriented mindset

Why Join Us

Opportunity to work on high-impact data-driven projects
Exposure to cutting-edge analytics and machine learning technologies
Collaborative and growth-oriented work culture
Competitive compensation and benefits

Associate Process Manager

Associate Process Manager