Senior Data Scientist

1 day ago

Pune, Maharashtra, India JSM Consulting Inc Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Hi

We are looking for early joiners for Sr Data Scientist role. If interested pls connect on

Job Title     : Senior Data Scientist

Experience :8+yrs

Location: Pune (Baner)

Working Mode: Work from Office (5 days)

About the Role

We are looking for a visionary Senior Data Scientist who excels in machine learning and

predictive analytics. You will lead the design, development, deployment, and optimization of

data-driven products that drive high business impactsuch as forecasting the price/value of

stocks, commodities, or consumer goods (e.g., apparel, retail).

This role is for someone who has successfully taken machine learning models from concept to

production, iteratively improved them based on user feedback and real-world performance and

thrives on delivering measurable results.

Key Responsibilities

  • End-to-End Product Ownership: Lead the development of predictive models from

    exploration and prototype to full-scale production deployment.

    Prediction: Build robust regression and/or time-series and/or deep learning models to

    predict prices/values of financial assets, oil, apparel, and other commodities.

    Model Optimization: Continuously monitor and fine-tune models for accuracy,

    performance, and scalability using real-time data feedback.

    ML Ops & Deployment: Collaborate with engineering to ensure successful deployment

    and monitoring of models in production environments.

    Stakeholder Collaboration: Translate business problems into analytical frameworks,

    working closely with product, strategy, and business teams.

    Data Strategy: Define and manage pipelines and feature stores using structured and

    unstructured data sources.

Required Qualifications

  • 8+ years of experience in data science, with a strong background in predictive analytics

    and machine learning.

    Proven experience building and scaling ML models in production environments (not just

    notebooks or PoCs).

    Deep expertise in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost,

    LightGBM, TensorFlow/PyTorch).

    Strong knowledge of regression techniques, time-series forecasting, and feature

    engineering.

    Experience in domains such as finance, commodities, retail pricing, or demand

    prediction is highly preferred.

    Experience working with cloud platforms (Azure, AWS or GCP), Azure ML or

    Sagemaker, tools like Airflow, Docker, and MLflow.

    Ability to define success metrics, conduct A/B tests, and iterate based on measurable

    KPIs.

    Excellent communication and storytelling skills with both technical and non-technical

    stakeholders.

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