Data Scientist

2 weeks ago

Bengaluru, Karnataka, India Gadgeon Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Joining Gadgeon offers a dynamic and rewarding

career experience that fosters both personal and

professional growth. Our collaborative culture

encourages innovation, empowering team members

to contribute their ideas and expertise to

cutting-edge projects.

Data Scientist

The Senior/Lead Data Scientist will design and deploy large-scale analytics solutions that deliver measurable impact. This role leads data-driven projects from ideation through implementation, provides technical and strategic guidance, and ensures best practices in data science across the business.

Key Responsibilities:

  • Lead end-to-end advanced analytics and data science projects, delivering actionable insights and predictive models.
  • Manage, mentor, and provide guidance to junior and mid-level data scientists.
  • Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and drive the data strategy.
  • Apply advanced statistical, machine learning, and deep learning techniques for problem solving.
  • Oversee data management, data governance, and pipeline design to ensure high data quality and reliability.
  • Develop, validate, and deploy production-grade models for business problems acrossIoT, product analytics, and AI domains.
  • Hands-on solutioning knowledge of Large Language Models (LLMs), fine-tuning, and RAG (Retrieval Augmented Generation) frameworks for enterprise AI applications.
  • Present findings and recommendations to business teams, including creation of clear visualizations and non-technical reports.
  • Stay abreast of the latest data science, analytics, and AI/ML trends and industry best practices.

Required Skills:

  • 7–10 years of experience in data science, analytics, or ML application roles.
  • Expertise with Python, R, SQL, and advanced machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
  • Strong statistical and mathematical modeling background (regression, classification, clustering, deep learning, time series).
  • Hands-on experience with Big Data technologies (Spark) and data pipeline design.
  • Track record of leading successful analytics projects and collaborating cross- functionally.
  • Excellent communication, visualization, and storytelling skills for technical and non-technical audiences.
  • Proven ability to manage teams, mentor junior talent, and foster a collaborative culture.

Preferred Skills

  • Experience in IoT, product engineering, or high-tech environments.
  • Familiarity with cloud platforms and scalable model deployment (AWS, Azure, GCP).
  • Knowledge of MLOps, containerization (Docker, Kubernetes), and version control (Git).
  • Professional certifications in data science, ML/AI, or project management.

Experience

  • 7-10 Years

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