Senior Data Scientist

Company Description

Bosch Global Software Technolhies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions.
With over 20,000 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Do you want to be part of the Computer Vision revolution, reforms and strategies? Whether it's in the area of mobility solutions(autonomous driving, ADAS, infrastructure guided services, etc), consumer goods, industrial technologies or energy and building technology or others, with Bosch R&D, you will have the chance to improve quality of life all across the globe by working on cutting edge technologies. We are a world class R&D team responsible to bring new features & products to the market for most product portfolio of Bosch with diverse verticals (Autonomous Driving, Consumer Electronics, Building Technologies, etc. to name a few). 

Job Description

• Working with stake holders from different business units in Bosch to identify the business opportunities for leveraging the data to drive business solutions.
• Develop customized algorithms for the customer so that they are suited 100% to the requirements
• Develop reusable AI/ML assets/products that can be scaled to multiple businesses with minimum customization.
• Creating statistical models and/or optimization frameworks for improving processes/products/profits
• 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 project/ products and provide technical directions to the other team members.
• Develop dashboards using software like Tableau, PowerBI, etc. 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 junior in team, like to sort the respective task for appropriate team members, mentoring them technically etc.

Qualifications

Education Requirements:

Ph.D./Masters from a reputed Indian institutes (IITs, IIITs, IISc, etc.) or from a reputed international institute in the area of Statistics, Machine Learning, Computer Science, etc.

Skills Required:

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and strong experience with applications
• Expertise in cutting edge technologies in applied deep learning and Machine learning in one or more of the following fields
  • Supply chain analytics: Inventory optimization, Warehouse Optimization, demand forecasting
  • Sales Domain : Recommendation systems, Customer Segmentation, Price Elasticity
  • Manufacturing analytics : Root cause analysis, scrap reduction, cycle time reduction, warranty analytics
  • Knowledge of Bayesian Optimization – experience with optimization tools like CPLEX, PULP, Gurobi, Google OR tools
  • NLP       
• Proven track record and experience with machine learning algorithms such as
  • Multivariate Regression, classification models, clustering algorithms, support vector machine, decision tree, random forest, neural network etc.
  • DOE, Forecasting, Segmentation, Uncertainty Analysis etc.
• Strong expertise in Python
• Work experience in preparing data which includes preprocessing, feature selection, imputation, cleansing, transformation using R/ Python
• Work experience in data exploration techniques, such as, mean-variance, k-means, nearest-neighbor, outlier techniques, and correlate anomalous sequences of events.
• Model deployment knowledge in Azure, AWS, etc. will be preferred
• Deployment experience with Docker, CI & CD will be an added advantage.
• Work experience in development of API, Web applications using Flask/Django will be an added advantage.
• Experience working in AI product development in agile methodology will be a good advantage.