Data Scientist

6 - 11 years

6 - 11 Lacs

Posted:10 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Data Scientist

Roles & Responsibilities:

  • Model Development & Deployment

    : Lead the end-to-end design, development, and deployment of machine learning/statistical models for real-world business applications.
  • Cross-functional Collaboration

    : Collaborate with Product, Engineering, and Business teams to translate their needs into data science problems.
  • Technology Implementation

    : Build and productionize models using

    Python, SQL

    , and

    PySpark

    on large-scale datasets.
  • Algorithm Application

    : Apply deep learning and advanced statistical techniques for tasks such as classification, regression, recommendation, and personalization.
  • Model Lifecycle Management

    : Perform data wrangling, feature engineering, model tuning, and evaluation. Monitor and manage the ML model lifecycle using tools like

    MLflow

    and

    Airflow

    .
  • Communication & Innovation

    : Communicate technical insights and findings effectively to both technical and non-technical stakeholders. Stay updated on the latest trends in ML and AI.

Skills Required:

  • 6+ years of hands-on experience in data science.
  • Strong

    Python

    skills, including libraries such as

    NumPy, pandas, scikit-learn, and TensorFlow/PyTorch

    .
  • Proficiency in

    SQL

    and experience with

    PySpark

    or distributed data processing.
  • Deep understanding of ML/DL algorithms, model development workflows, and statistical modeling.
  • Proven ability to deploy and manage production-grade models at scale.
  • Experience with

    MLOps

    tools (

    MLflow, Airflow, Docker, Kubernetes

    ) is a plus.
  • Familiarity with deploying

    ML APIs

    using

    FastAPI

    or similar frameworks is a plus.

QUALIFICATION:

  • Masters degree in Computer Science, AI, or a related technical field is preferred.

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