TM Data Science

Designation

Location: India Maharashtra One Unity Centre, Mumbai

Organization: Metals

• *Job Description:**
• -------------------

• *Job Purpose :**

The role is responsible for delivering specific advanced analytics projects and drive data\-driven decision\-making and innovation within the organization. This role involves identifying projects, understanding the business need, delivering the development and implementation of advanced analytics, machine learning models, and data strategies to solve complex business problems individually or with team of data scientists. The Senior TM Data Scientist will collaborate with cross\-functional teams to ensure the effective use of data, provide strategic insights, and contribute to the overall growth and success of the company.

The Senior Data Scientist will operate with a 50% focus on individual contribution and a 50% focus on team management.

• *4\) Key Result Areas/Accountabilities:**

• **Non\-Technical Skills**
• *Category**

• *Step/Activity**

• *Supporting Actions**

• *Analytics Delivery**

• *Use Case / Project Identification**

• **Supports** the VH Digital and Analytics COE in brain storming for use cases.
• **Design \& Implement** prioritization, benchmarking, and feasibility assessment framework aligned with VH Digital and Analytics COE
• **Lead** translation of business problems into analytics problem statements
• *Project Execution**

• **Design \& Implement** project charter creation

(potential timelines, proposed solution architecture, business KPIs, etc.) aligned with VH Digital and Analytics COE* **Lead \& Implement**

• end\-to\-end project delivery
• technical standards
• data preparation, feature engineering, and model development
• reproducible pipelines, experiment tracking, and versioning
• evaluation framework, success metrics, and business validation

• **Review**
• Team member project implementation to ensure code and model quality
• *Model Monitoring**

• **Design \& Implement**
• model performance
• data quality
• drift monitoring
• **Lead** root\-cause analysis and retraining decisions
• *Solution Adoption**

• **Design \& Lead** deployment approach and integration into business processes
• **Support** user onboarding and adoption tracking
• *People Management**

• *Team Management**

• **Design \& Implement** skill roadmaps and development plans (DS and CDS)
• **Mentor** junior team members (DS, CDS) through reviews and guidance
• *Training \& Knowledge Sharing**

• **Design \& Implement** training on DS best practices, tools, and frameworks
• **Lead** knowledge sharing within DS community
• *Business Alignment**

• *Stakeholder Management**

• **Lead \& Implement** stakeholder communication and progress reviews
• **Execute** translation of analytics outcomes to business impact
• **Non\-Technical Skills**
• *Category**

• *Supporting Actions**

• *Core Skills**

• *Concepts (Technical)**

a) Problem framing, EDA, feature engineering

b) Statistical reasoning and ML fundamentals

• *Concepts (Soft Skills)**

a) Technical leadership and mentoring

b) Business storytelling and stakeholder communication

• *Tools**

Python, SQL, R; pandas, numpy; scikit\-learn; Jupyter, VS Code; Git

• *Advanced Skills**

• *Concepts**

a) End\-to\-end ownership of ML, DL, CV, NLP, GenAI solutions

b) Model robustness, monitoring, and optimization

• *Tools**

ML: XGBoost, LightGBM

DL: TensorFlow, PyTorch

CV: OpenCV

NLP/GenAI: spaCy, HuggingFace, LangChain, LLM APIsMLOps: MLflow, Airflow, Docker

• *Optional Skills**

• *Concepts**

a) Advanced experimentation and solution innovation

b) Optimization\-driven decision making

• *Tools**

OR\-Tools, PuLP, Prophet, Evidently, Kubernetes, Azure/AWS (any one)