Senior Data Scientist

Job Description

Job DescriptionBosch is at the forefront of innovation in the connected world and is impacting millions of lives every day through its products in mobility, industrial technology, consumer goods and energy and smart building sectors. We rely on data for every aspect of our product lifecycle and operations and we collect a lot of it every day. Our team is responsible for enabling a wide variety of Bosch product teams to make use of advancements in AI through centralized services that involve streaming data from connected services to building and deploying state-of-art AI solutions. You will be part of a global team to make this happen!We are looking for a talented professional who is passionate about building fault-tolerant data services, analytics tools and AI solutions targeted towards cutting-edge applications. Your work will be used by hundreds of Bosch engineers and will have global impact by improving the quality and value of Bosch products.Technical Skills:
• Working with stake holders from different business units in Bosch 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.
• Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits
• Proactively develop new metrics and studies to quantify the value of different aspects of product.
• Translate analytic insights into concrete, actionable recommendations for business or product improvement.
• Develop customized Data models and algorithms for the customer data so that they are suited 100% to the specific requirements
• 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.
• Should have independently handled a project technically and provide directions to the other Team Members.
• Should possess working knowledge of visualization concepts along with any one of the software like Tableau, PowerBI
• 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 responsible team members, mentoring them technically etc.
Responsibilities:
• Expertise in cutting edge technologies in applied deep learning, Machine learning and AI in one or more of the following fields
  • Manufacturing analytics : Root cause analysis, scrap reduction, cycle time reduction, warranty analytics
  • Supply chain analytics: Inventory control, demand forecasting
  • Sales Domain : Recommendation systems, Customer Segmentation, Price Elasticity
  • Computer Vision
• Strong expertise with one of the following coding languages;
  • Python, R
• 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.
• 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.
• Work experience in development of API, Web applications using Flask/Django will be an added advantage.
• Deployment experience with Docker and CI & CD will be an added advantage.
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Keyskills :
machine learninganalyticssqlalgorithmsoracle dbaroot cause analysiscycle time reductiondata modelsdata servicesdeep learningweb applications