Senior Data Scientist

15 hours ago

Nagpur, Maharashtra, India Gibbous Technologies Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Senior Data Scientist

 
Location:
 Nagpur, India (On-site)

 
Experience:
 4–6 years

 
Employment Type:
 Full-time

About Gibbous Technologies

Gibbous Technologies is a fast-growing 
data analytics and AI consulting firm
 based in Nagpur. We specialize in 
sports business analytics
, 
AI-driven decision support
, and 
custom data platforms
 that help organizations turn information into action. Our work bridges data science, product innovation, and domain expertise to create measurable business value.

Role Overview

We are seeking an experienced 
Senior Data Scientist
 who can lead analytical initiatives, mentor junior team members, and develop scalable machine learning solutions for enterprise and sports clients. The ideal candidate is both technically strong and business-savvy—able to design experiments, interpret results, and communicate insights that influence high-level decisions.

Key Responsibilities

  • Lead end-to-end 
    data science projects
    , from problem framing and data preparation to model deployment and monitoring.
  • Design and implement 
    predictive, prescriptive, and generative models
     using state-of-the-art machine learning and AI frameworks.
  • Mentor and review work from junior data scientists and analysts.
  • Collaborate with 
    engineering teams
     to build robust, production-grade data pipelines and APIs.
  • Develop 
    ML Ops workflows
     for version control, CI/CD, and performance tracking of deployed models.
  • Conduct 
    feature importance, explainability (SHAP/LIME), and model interpretability
     analyses.
  • Create compelling 
    dashboards, visual reports, and presentations
     that translate complex insights into actionable strategies for clients.
  • Support 
    data governance, experimentation frameworks
    , and 
    model documentation standards
     across teams.
  • Stay updated with the latest in machine learning, AI research, and data engineering trends.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 4–6 years of professional experience in data science, analytics, or applied ML roles.
  • Strong expertise in 
    Python
    , 
    SQL
    , and ML libraries (scikit-learn, PyTorch, TensorFlow).
  • Hands-on experience with 
    data pipelines, cloud environments
    , and 
    ETL orchestration
     (AWS, Azure, GCP, DBT, Airflow).
  • Proficiency in 
    data visualization tools
     (Tableau, Power BI, or Plotly).
  • Strong foundation in 
    statistical inference, time series modeling, and experimental design
    .
  • Experience in 
    model deployment
     using Docker, APIs, or MLOps platforms.
  • Excellent communication skills with the ability to distill complex results into clear business recommendations.

Preferred (Good-to-Have)

  • Experience leading projects in 
    sports analytics, business forecasting, or AI consulting
    .
  • Familiarity with 
    LLMs, RAG architectures, or LangGraph/LangChain
     frameworks.
  • Working knowledge of 
    Snowflake, Supabase, and cloud-native data architectures
    .
  • Publications, Kaggle achievements, or open-source contributions.
  • Passion for innovation and mentoring data talent.

What We Offer

  • Leadership opportunity in a growing analytics and AI ecosystem.
  • Collaborative, high-impact environment with exposure to multiple industries.
  • Competitive compensation with growth-based incentives.
  • Continuous learning and development opportunities, including access to AI research tools and cloud resources.
  • A culture that values experimentation, teamwork, and real-world impact.

Send your resumes to

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