Data Scientist

About Company:

Bosch Mobility and Platform Solutions is a global division of the Bosch Group providing digital platform solutions for the mobility and logistics industries.

The division offers end-to-end technology services including secure cloud infrastructure, enterprise software, and managed services to optimize fleet operations and supply chains.

It serves as a digitization partner across the mobility value chain, supporting integration and operation of connected transportation systems.

With a global presence (India, Europe, North America), MPS collaborates with stakeholders to deliver scalable, technology-driven solutions.

Job Description:

Position: Sr Data Scientist

Experience: 4 - 7 yrs

Education Requirements:

Masters from a reputed Indian institute in the area of Statistics, Machine Learning, Computer Science, etc.

Job Requirements:

- Working with stakeholders from different business units to identify the business opportunities for leveraging the data to drive business solutions.

- Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage).

- Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights.

- Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements.

- Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.

- Translate analytic insights into concrete, actionable recommendations for business or product improvement.

- Partner closely with product and engineering leaders throughout the lifecycle of project.

- Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.

- Independently handle the products/projects and provide technical directions to the other team members.

- Develop dashboards using software like PowerBI to share algorithm results to end users.

- Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.

- Technical directions to juniors in team, like to sort the respective task for appropriate team members, mentoring them technically etc.

Technical Skills:

- Expertise in cutting edge technologies in applied deep learning, Machine learning and AI in one or more of the following fields:

1. Supply chain analytics: Inventory Optimization, demand forecasting.

2. Sales Domain: Recommendation systems, Customer Segmentation, Price Elasticity.

3. Manufacturing analytics: Root cause analysis, scrap reduction, cycle time reduction, warranty analytics.

4. Computer Vision.

5. Gen AI: RAG, Agentic RAG, Graph RAG, Chain of Thoughts, Tree of Thoughts, Content Extraction, Content summarization, Chat application, LangChain.

- Strong expertise in Python.

- Work experience in preparing data which includes preprocessing, feature selection, imputation, cleansing, transformation using Python.

- Work experience in data exploration techniques, such as, mean-variance, k-means, nearest-neighbor, outlier techniques, and correlate anomalous sequences of events.

- Proven track record and experience with machine learning algorithms such as:

1. Multivariate Regression, classification models, clustering algorithms, support vector machine, decision tree, random forest, neural network etc.

2. DOE, Forecasting, Segmentation, Uncertainty Analysis etc.

- Work experience in development of API, Web applications using Flask/Django will be an added advantage.

- Model deployment knowledge in Azure / AWS, etc. will be an advantage.

- Deployment experience with Docker, CI & CD will be an advantage.