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Philips Data Scientist in Bangalore, India

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  • In EIM we bring all structured company information (customer, vendor, product, finance, people, consumer) as well as unstructured company information (digital product and marketing content,…) under central guidance and provide a wide array of information management services.

  • Insights & Analytics enables real-time performance measurement through relevant actionable insights by means of the development and delivery of (standard) reporting capabilities as well as enterprise (advanced) analytics.

Scope of responsibilities of this role:

  • Execute and lead advanced analytics projects for finance, focusing on several business domains (e.g. margin analytics, new product introductions, pricing, etc.)

  • Design, drive and implement solutions that provide insights and bring tangible business value

  • Engage with senior business stakeholders, to understand their business challenges and translate this in analytics requirements

  • Activities include evaluation, analysis, and documentation of business requirements as well as translation into proper advanced analytics solution specifications and implementations.

  • Ensure timely delivery of reports/analysis, guiding a bigger team of 10+ business analysts, developers and data scientists

  • Ensure a maximum of data accuracy in each deliverable

Key Competencies:

  • Overall relevant experience of 7+ years

  • Experience of delivering advanced analytics in an enterprise environment

  • Ability to communicate complex ideas effectively, structure and solve problems, and conduct and interpret analysis independently

  • Ability to manage and steer interaction with business and other stakeholders within the organization

  • Good knowledge and experience with information science and computer science

  • Good experience with (big volume) data cleansing, handling and pruning,

  • Complex statistics understanding, statistical modelling, predictive analytics, machine learning and analytic approaches, inventing new algorithms

  • Strong data mining, programming and visualization skills

  • Data classification, regression, similarity, cluster analysis

  • Technologies to master: R, Python, Qlikview/Qliksense, PowerBI, KNime and Hadoop stack

  • Team player that possesses competencies to guide a multi-disciplinary team

Qualifications:

  • Master in Business Management/Science/Technology
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