Tech Mahindra · 19 hours ago
Senior Data Scientist
Tech Mahindra is seeking a Senior Data Scientist to lead machine learning initiatives and ensure that data-driven insights translate into business value. The role involves managing the entire machine learning lifecycle, mentoring teams, and bridging the gap between advanced research and operational excellence.
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Responsibilities
End-to-End Machine Learning Lifecycle Management
Problem Formulation: Translating ambiguous business challenges into concrete mathematical problems and defining success metrics
Pipeline Orchestration: Designing automated pipelines for data collection, cleaning, and feature engineering using tools like Spark or native cloud services
Model Deployment & MLOps: Implementing best practices for model serving, versioning, and CI/CD for machine learning
Continuous Monitoring: Establishing frameworks to monitor for model drift, data skew, and system latency in production environments
Transitioning Research to Production A primary duty is overcoming the technical debt associated with ML systems by ensuring models are operationally viable. This involves:
Containerization: Using tools like Docker and Kubernetes to ensure models are portable and scalable
Performance Optimization: Balancing model complexity with operational requirements like latency (milliseconds) and throughput (Queries Per Second)
Statistical Validation: Ensuring that technical loss metrics (e.g., Log-Loss) correlate with business KPIs like revenue or user engagement
Mentorship and Leadership : As a technical lead, the individual drives the growth of the broader data science team
Technical Oversight: Providing rigorous code and architecture reviews to ensure adherence to standards (e.g., PEP 8)
Culture of Excellence: Guiding experimentation practices and evaluation standards to ensure all research findings are reproducible
Agile Management: Facilitating sprint planning and retrospectives to keep projects on track and aligned with goals
Strategic Communication : The Lead acts as the bridge between technical teams and executive leadership
Translation: Communicating complex findings (e.g., causal inference or embeddings) in clear, actionable terms for non-technical stakeholders
Stakeholder Management: Building confidence in data products across departments like Marketing, Finance, and Operations
Qualification
Required
6 to 10 years of applied data science or research-oriented ML
Expert-level Python or R, with deep knowledge of the data science ecosystem (Pandas, NumPy, Scikit-learn)
Mastery of deep learning libraries such as TensorFlow, PyTorch, or Keras
Advanced SQL and experience with big data technologies like Spark, Hadoop, or Kafka
Hands-on experience architecting ML solutions on major cloud platforms (e.g., SageMaker, Vertex AI, Azure ML or AI Flow)
Proficiency in Git, Docker, and building/maintaining REST APIs for model serving
Master's or relevant experience in a quantitative field such as Statistics, Computer Science, Mathematics, or Physics
Preferred
Professional-level certifications from major providers (e.g., AWS Certified Machine Learning - Specialty, GCP Professional ML Engineer, or Azure Data Scientist Associate)
Demonstrated experience with Generative AI, Large Language Models (LLMs), and RAG (Retrieval-Augmented Generation) architectures
Contributions to open-source ML libraries or a record of publications in recognized venues (e.g., NeurIPS, ICML)
Company
Tech Mahindra
Tech Mahindra is a consulting company that offers network, sustainability, application, cloud infrastructure, and business services.
H1B Sponsorship
Tech Mahindra has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (8)
2023 (30)
2022 (32)
2021 (23)
2020 (90)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Life Insurance Corporation
2025-09-16Post Ipo Equity
2006-08-01IPO
Recent News
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