Data Scientist

0 years

0 Lacs

Posted:1 hour ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.
  • Build, train, and validate machine learning and statistical models.
  • Develop predictive algorithms for business forecasting and decision-making.
  • Perform data cleaning, wrangling, and feature engineering to create high-quality input for models.
  • Collaborate with product, engineering, and business teams to solve real-world problems using data-driven methods.
  • Communicate findings through clear visualizations, dashboards, and presentations.
  • Deploy models into production using tools such as MLflow, Docker, AWS/Azure/GCP.
  • Develop and maintain ETL pipelines in coordination with data engineering teams.
  • Conduct A/B testing and model performance evaluation.
  • Stay updated with latest advancements in AI/ML, deep learning, and data science methodologies.

Required Skills & Qualifications

  • Strong programming skills in Python and/or R.
  • Expertise in machine learning libraries like Scikit-learn, TensorFlow, PyTorch.
  • Solid understanding of statistics, probability, and mathematical modeling.
  • Proficiency in SQL, data manipulation, and working with structured/unstructured data.
  • Experience with visualization tools: Power BI, Tableau, Matplotlib, Seaborn.
  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Excellent problem-solving, analytical thinking, and communication skills.

Job Type: Full-time

Work Location: In person

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