Data Scientist

4 - 6 years

10 - 18 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

Need - candidate who having degree in data scientist either in graduation or post graduation

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:

Bachelors 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, Bangalore.

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