Senior Data Scientist

Services

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Together, we move the world—we’ve been doing it for over 100 years. At MAHLE, as a leading international development partner and systems supplier to the automotive industry, we pursue the objective of making mobility more efficient, more environmentally friendly, more convenient, and more economical. As part of our dual strategy, we are working both on the intelligent combustion engine for the use of hydrogen and other nonfossil fuels and on technologies for fuel cells and e-mobility.

MAHLE generated sales of €11.3 billion in 2025. Employing just under 65,000 people at 127 production locations and 11 technology centers, the company is represented in 28 countries. (as at: 12/31/2025). Join our MAHLE team! #weshapefuturemobility

Your Contribution

Highly experienced Senior Data Scientist to design, deliver, and scale high impact, production grade data science and applied AI solutions. This role requires deep expertise in statistical analysis, machine learning, and Generative AI, along with strong ownership of the end-to-end data science lifecycle.

You will work closely with business, analytics, engineering, and platform teams to translate complex business needs into scalable, reliable, and measurable data science solutions. While collaborating cross functionally, you will retain primary accountability for solution design, model development, deployment, and continuous optimization.

Your Experience and Qualification

Educational Background

B.Tech/B.S./ M.S. in Computer Science, Statistics, Mathematics, or a related field

Professional Experience

6–10 years of hands-on experience in data science, machine learning, or AI engineering roles

Proven experience delivering production-grade machine learning or AI solutions

Technical Skills

Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch and/or TensorFlow)

Deep experience with:

Supervised, unsupervised, and reinforcement learning techniques

Statistical modeling, experimentation, and hypothesis testing

Strong SQL skills and experience with big data technologies such as:

Spark, Hive, Presto, Databricks, or equivalent

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

Exposure to MLOps tools and practices (model versioning, CI/CD, monitoring)

Familiarity with orchestration frameworks such as Airflow or Kubeflow

Experience with AI platforms, analytics platforms, or conversational AI systems

Key Responsibilities

Data Science & Advanced Analytics

Translate complex business challenges into well defined, actionable data science problems

Conduct in depth exploratory data analysis to identify patterns, drivers, and actionable insights

Design, develop, and validate advanced statistical and machine learning models

Select appropriate algorithms based on data characteristics, business objectives, and constraints

Perform rigorous model evaluation, error analysis, and performance interpretation

Clearly communicate findings, assumptions, trade-offs, and limitations to both technical and non-technical stakeholders

Continuously monitor, refine, and retrain models based on performance, feedback, and evolving requirements

Productionization & Collaboration

Partner with business, analytics, and platform teams to enable seamless model deployment and integration into production environments

Establish and promote data science with the best practices, standards, and documentation

Support MLOps processes including versioning, CI/CD, monitoring, and observability

Ensure scalability, reliability, and maintainability of deployed solutions

Generative AI & Applied AI

Design, implement, and evaluate Generative AI solutions for real-world business use cases

Apply and assess qualitative and quantitative metrics to evaluate GenAI system performance

Develop solutions leveraging embeddings and vector representations for semantic search and similarity

Demonstrate strong understanding of tokens, context windows, and their impact on quality, latency, and cost

Design and apply RAG (Retrieval-Augmented Generation) and CAG (Context/Cached-Augmented Generation) patterns

Apply effective prompting techniques including zero-shot and one-shot strategies

Control and reason about temperature, randomness, and output variability

Identify causes of hallucinations and implement mitigation strategies

Implement and evaluate guardrails at prompt, retrieval, and output levels

Understand agent-based concepts including A2A (Agent-to-Agent) interactions

Demonstrate familiarity with model–context–memory management concepts (MCP), as applicable

Machine Learning & Deep Learning

Develop and evaluate ML solutions across multiple domains, including:

o Forecasting and time series analysis

o Classification and regression

o Clustering and segmentation

o Natural Language Processing (NLP)

o Computer Vision (CV)

Apply supervised, unsupervised, and semi-supervised learning techniques

Demonstrate conceptual and applied understanding of deep learning architectures:

o ANN / MLP

o RNN / LSTM / GRU

o CNN

o High-level understanding of transformer-based models

Conduct hyperparameter tuning, model optimization, and robust validation

Leadership & Mentorship

Mentor junior data scientists and provide technical leadership across the team

Act as a trusted advisor for data science and AI initiatives

Champion high standards for analytical rigor, ethics, and reproducibility

MINIMUM REQUIREMENTS

Strong communication, stakeholder management, and organizational skills

Self-motivated, customer-focused, and detail-oriented mindset

Knowledge of ERP systems (SAP) – strongly preferred

Six Sigma Yellow Belt or Green Belt certification – a plus

ITIL certification – a plus

Our Offering.

We will provide a collaborative environment working on exciting assignments, along with ongoing personal & career development opportunities.

We encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!

After receiving your online application, the interview process will typically be, once your profile will get shortlisted.

#DiversityMatters with our inclusive culture, we welcome applications from all social, religious & ethnical backgrounds, disabilities both mental and physical, identities (gender) and neurodivergent people.

Do you have any questions?

IN

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Facts about the jobEntry level: Experienced hires

Part- / Full-time: Full Time

Functional area: IT

Department: Services

Location:

Pune, IN

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Company: MAHLE Holding (IN)

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Closing date for applications

Don't waste any time, apply while the position is online.

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Your future at MAHLE

As a team player and someone who thinks ahead, you can deploy all your skills with us. In cooperation with colleagues from different countries and areas, you contribute in designing the mobility of the future. When selecting MAHLE, you choose trend-setting technologies and strategies. Are you interested in working with us and developing efficient and environmentally-friendly solutions, optimising existing products, and turning innovative ideas into reality? Then MAHLE is the right address for you.

Shape the future with us.

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