Data Scientist with Python

8 - 13 years

15 - 19 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Project description
    We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable data science solutions.
  • Responsibilities

  • Develop and deploy machine learning, deep learning, and predictive models.

  • Perform statistical analysis, data mining, and feature engineering on large datasets.

  • Build and optimize data pipelines and ETL workflows.

  • Collaborate with data engineers and business stakeholders to deliver actionable insights.

  • Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly.

  • Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management.

  • Mentor junior data scientists and contribute to team knowledge-sharing.

  • Stay current with trends in AI/ML and data science.
  • Skills
    Must have

  • Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.

  • Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems.

  • Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets.

  • Experience working with big data platforms (Spark, Hadoop) and integrating with cloud environments (AWS, Azure, GCP).

  • Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions.

  • Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively.

  • Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management.

  • Ability to engage with business stakeholders, gather requirements, and deliver actionable insights aligned with business goals.

  • Experience in mentoring junior data scientists/analysts, leading projects, and contributing to knowledge-sharing across teams.

  • Continuous learner with strong problem-solving, communication, and leadership skills, staying updated with the latest trends in AI/ML and data science. Nice to have

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