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Senior Data Scientist

10 - 20 years

20 - 35 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Summary:

Senior Data Scientist

Key Responsibilities:

  • Lead the development of

    AI/ML models

    from problem definition to deployment in production.
  • Design and implement solutions using

    deep learning

    ,

    computer vision

    ,

    generative AI (GenAI)

    ,

    RAG

    , and

    prompt engineering

    techniques.
  • Work on

    time series forecasting

    , anomaly detection, and predictive modeling tasks.
  • Collaborate with product, engineering, and domain experts to build scalable and impactful data science solutions.
  • Translate complex technical findings into business insights for non-technical stakeholders.
  • Contribute to architectural discussions and strategic planning of AI/ML capabilities.
  • Mentor junior data scientists and contribute to best practices in model development and deployment.

Required Skills & Qualifications:

  • Bachelors/Master’s/Ph.D. from Tier 1 or Tier 2 institution in Computer Science, Statistics, Mathematics, or related field.
  • 10+ years of experience in data science and applied machine learning.
  • Strong programming skills in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
  • Deep understanding of

    CNNs, Transformers, LLMs

    , and

    multimodal architectures

    .
  • Hands-on experience in

    Computer Vision

    (image segmentation, object detection, OCR, etc.).
  • Expertise in

    Generative AI

    , including prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience in

    Time Series Modeling

    using statistical and deep learning techniques.
  • Experience working in either

    Supply Chain

    or

    Healthcare

    domain is mandatory.
  • Proficient in communicating technical concepts clearly to both technical and business audiences.

Preferred Skills:

  • Experience with ML Ops tools (MLFlow, SageMaker, Vertex AI).
  • Exposure to cloud platforms like AWS, Azure, or GCP.
  • Familiarity with data engineering workflows (ETL, feature stores, data pipelines).
  • Publications or patents in relevant AI/ML fields are a plus.

    Role & responsibilities

Preferred candidate profile

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CBC
CBC

Financial Services

Los Angeles

1500 Employees

1 Jobs

    Key People

  • John Smith

    CEO
  • Jane Doe

    CFO

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