Data Scientist (Thane)

Data Scientist (Thane)

20 Aug
|
thyssenkrupp Materials IT Services India
|
Thane

20 Aug

thyssenkrupp Materials IT Services India

Thane

Roles and Responsibilities :
- Design statistical, machine learning, and generative AI solutions for high-value use cases such as forecasting, classification, anomaly detection, recommendations, optimization, and text analytics.
- Use Microsoft Fabric to explore data, engineer features, train models, and track experiments with MLflow.
- Design experiments and evaluations, interpret results rigorously, and translate findings into trusted recommendations and measurable improvements.
- Support generative and agentic AI use cases by evaluating model behavior, improving prompts and grounding, and identifying where models, insights, or agents create value.
- Use Microsoft Foundry to prototype, test, optimize, and evaluate AI applications and agents using enterprise data, models, and tools.
- Ensure models and analytical products meet governance, privacy, lineage, and responsible AI requirements in collaboration with Purview and governance stakeholders.
- Contribute reusable assets such as feature logic, evaluation methods, notebooks, experimentation patterns, and documentation standards.





Your Profile -
- Minimum 5–7+ years of professional experience in data science, applied machine learning, econometrics, statistics, operations research, or a closely related field.
- Proven track record of delivering production-relevant analytical or ML solutions that drive measurable business outcomes.
- Experience working with cross-functional teams including data engineering, architecture, product, and business stakeholders.
- Experience in regulated, enterprise-scale, or governance-heavy environments is highly desirable.

Skills -
- 5–7+ years of hands-on experience in data science, ML, applied statistics, or advanced analytics in enterprise or product settings.
- Robust Python skills and experience with data preparation, model training, evaluation, and interpretation workflows.
- Solid grounding in statistics, experimentation, predictive modeling, and model evaluation to select fit-

📌 Data Scientist (Thane)
🏢 thyssenkrupp Materials IT Services India
📍 Thane

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