Sr Data Scientist

2 weeks ago


Chennai, Tamil Nadu, India TECHY GEEKS Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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

Location:
Chennai (Work From Office | Mon–Fri)

Timings:
1:00 PM – 10:00 PM IST

Experience:
5–8 Years

CTC:
20-25₹ LPA

Notice Period:
Immediate to 15 Days

We're looking for a
Senior Data Scientist
to lead the development of scalable, impactful machine learning and AI solutions. In this role, you'll work cross-functionally with engineering, product, and business teams to drive innovation and value using data.

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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