EDS1_ Data Scientist

  • Kormangala, Bengaluru, KA
  • Full-time
  • Legal Entity: Robert Bosch Engineering and Business Solutions Private Ltd.

Company Description

Robert Bosch Engineering and Business Solutions Private Limited (RBEI), 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 18000 associates, RBEI is the largest software development center of Bosch outside Germany, indicating we are the Technology Powerhouse of Bosch in India. We have a global footprint with presence in US, Europe and the Asia Pacific region. RBEI is ISO 9001:2008 certified (2012), appraised at CMMI-L5 as per version 1.3 (2011), ASPICE - level3 based on version 2.5 and ISO 15504- 5 and 7, and also ISO 27001 with seven state-of-the-art facilities spread across Bangalore and Coimbatore in India, Ho Chi Minh City in Vietnam and Guadalajara in Mexico, ISO/IEC 20000-1:2011 certified (2014).

We nurture, build and sustain enduring customer relationships to enable direct operational and strategic benefits to our customers. We make it happen through qualified, motivated and flexible professional associates, who uphold the heritage and values of Bosch - time-tested over 125 years of a successful journey; a journey marked by quality, reliability and innovation of service to enhance the interest of our customers and the community we live in.

We provide solutions for businesses in primarily three areas:

•Engineering Services
•IT services
•Business services

Our focal industries:

•Automotive industry
•Industrial Technology
•Consumer Goods and Building Technology.

Our role
“We see RBEI as helping us to achieve the technological lead we need to have in order to prevail in increasingly competitive world markets….. RBEI is about ensuring product excellence under conditions that allow us to maintain our global competitiveness” – Mr. Franz Fehrenbach, Chairman of the Board of Management, Robert Bosch GmbH.

Job Description

 Requirements:

  • Good knowledge of advanced statistical methods
    (automotive or manufacturing domain will be an added advantage). Mine and
    analyze data, applying statistical methods as necessary, pertaining to
    customers’ discovery and viewing experiences to identify critical product
    insights.

  • Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits

  • Should possess working knowledge of visualization concepts along with any one of the software like Tableau, Spot fire or D3-JS

  • Proactively develop new metrics and studies to quantify the value of different aspects of product.

  • Knowledge in Text Mining, Semantic Web,elastic search, Amazon cloud, would be an added advantage.

  • Experience on Big Data implementation with Big data work flows – MR, Kafka, Spark, Sqoop, HDFS-Hive etc,

  • 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.

  • Drive efforts to enable leadership team to share your knowledge and insights through clear and concise communication, education,
    and data visualization.

  • Should have independently handled a project technically and provided directions to the other Team Members.

  • Able to persuade stakeholders and champion effective techniques through development.

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

  • Demonstrating thought leadership and subject matter expertise in all relevant topics by coming up with papers, publications and Patents

Technical Skills

  • Expertise with one of the following scripting languages;

    • Python, R, Knime, Mat-lab, Java, Mat-lab/Octave

    • OpenNLP, WordNet, NLTK

  • Tech savy and willing to work with open-Source Tools

  • Proven track record and experience with statistical modeling/data mining algorithms such as

    • Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc

    • Machine learning, or graph mining. DOE, Forecasting, Segmentation, Uncertainty Analysis etc.

    • Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc

    • Vector Space model for Unstructured Text

    • Sentiment Analysis, Association Mining, Semantic Analysis

  • Should know some programming language and willing to learn more.

Qualifications

A Master’s or PhD (Statistics /Computer Science / Machine Learning, etc)

Additional Information

Experience in the range of 3 - 8 years

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