Data Scientist

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About the Role: We are looking for an experienced Data Scientist with a strong academic background in Data Science and 4–5 years of hands-on industry experience. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning techniques to solve complex business problems.

Key Responsibilities:

● Analyze large datasets to extract meaningful insights and patterns to support business decisions.

● Develop, implement, and optimize machine learning and statistical models for predictive and prescriptive analytics.

● Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.

● Design and build data pipelines and perform data wrangling using Python, R, or SQL.

● Communicate analytical findings through clear data visualizations and storytelling techniques.

● Evaluate model performance and improve accuracy and efficiency.

● Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML models in production.

● Ensure data quality, governance, and compliance with organizational standards.

Required Skills and Qualifications:

● Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.

● 4–5 years of relevant experience in Data Science or Machine Learning projects.

● Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.

● Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.

● Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.

● Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).

● Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.

● Excellent analytical, problem-solving, and communication skills.

Good to Have:

● Experience with Deep Learning, NLP, or Time Series Analysis.

● Exposure to MLOps and CI/CD pipelines for model deployment.

● Certifications or project portfolios in Data Science or Machine Learning.

Why Join Us:

● Opportunity to work on real-world, high-impact data science challenges.

● Collaborative environment that values innovation and continuous learning.

● Flexible working locations – Pune, Hyderabad, or Bangalore.