7 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Scientist

Key Responsibilities

  • Collect, process, and analyze

    large, structured and unstructured datasets

    .
  • Build and deploy

    machine learning models, predictive algorithms, and statistical analyses

    to solve business problems.
  • Collaborate with stakeholders to

    identify opportunities

    where data science can create measurable impact.
  • Communicate complex findings through

    visualizations, dashboards, and data storytelling

    .
  • Design and run

    experiments (A/B tests, hypothesis testing)

    to validate solutions.
  • Ensure

    data integrity, governance, and reproducibility

    across workflows.
  • Stay updated with the latest advancements in

    AI, ML, and data science techniques

    .
  • Contribute to

    automation, model monitoring, and scaling of ML solutions

    into production.

Key Requirements

  • Bachelor’s/Master’s degree in

    Computer Science, Statistics, Mathematics, Data Science, or related field

    .
  • 3–7 years of experience

    in data science, analytics, or applied machine learning.
  • Strong proficiency in

    Python or R

    , with hands-on experience in libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Expertise in

    SQL

    and working with relational as well as NoSQL databases.
  • Experience with

    data visualization tools

    (Tableau, Power BI, or similar).
  • Solid understanding of

    statistics, probability, and experimental design

    .
  • Exposure to

    cloud platforms (AWS, GCP, Azure)

    and ML Ops practices is a plus.
  • Strong business acumen and ability to translate data into

    strategic recommendations

    .

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