Sr Data Scientist

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We're Hiring: Senior Data Scientist ( Only Serving Notice


Location:

Timings:

Experience:

CTC:

Notice Period:


Senior Data Scientist


Key Responsibilities

  • Lead end-to-end data science projects, from problem definition through model deployment.
  • Build and deploy predictive models, optimization techniques, and statistical analyses.
  • Translate complex data into actionable insights for both technical and non-technical stakeholders.
  • Design and execute experimentation strategies such as A/B testing.
  • Collaborate with data engineering teams to develop scalable, production-grade pipelines.
  • Mentor junior team members and contribute to best practices and internal research initiatives.
  • Design and implement

    Retrieval-Augmented Generation (RAG)

    pipelines using LLMs to solve business problems in areas like knowledge retrieval, document summarization, or intelligent automation.


Required Skills & Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of industry experience in data science with production-level deployments.
  • Strong expertise in

    Python

    and

    SQL

    .
  • Hands-on experience with ML libraries:

    scikit-learn

    ,

    XGBoost

    ,

    TensorFlow

    ,

    PyTorch

    .
  • Proficiency in data visualization tools:

    Tableau

    ,

    Power BI

    ,

    matplotlib

    ,

    Plotly

    .
  • Solid grounding in statistics, machine learning, and experimental design.
  • Cloud experience with

    AWS

    ,

    GCP

    , or

    Azure

    ; version control with

    Git

    .
  • Experience with

    MLOps

    tools like

    MLflow

    ,

    Kubeflow

    ,

    Docker

    , and

    CI/CD

    .
  • Experience with Retrieval-Augmented Generation (RAG) systems

    , including integration with vector databases, embedding models, and LLM APIs.
  • Bonus: Familiarity with

    NLP

    ,

    time series forecasting

    ,

    recommendation systems

    .
  • Good to have: Exposure to

    big data

    tools like

    Spark

    ,

    Hive

    , or

    Presto

    .


If you meet the criteria and can join within 15 days, feel free to connect or share your profile.

This is a high-impact role at the intersection of data science and modern AI applications.

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