Planning COE Data Scientist
Hewlett Packard Enterprise
Bangalore, Karnataka
1d ago

Roles and Responsibilities

Defines and develops the value proposition for analytics solutions based on user needs, business value, industry requirements and understanding of advanced analytic models (statistical, operations research).

Conceptualizes, builds, develops, and enhances analytic models using right modeling methodology, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business insights across the planning organization.

Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Application Developers.

Drive improvements in planning metrics such as forecast accuracy, inventory management, service to our customers, and cost metrics.

Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models.

Lead weekly meetings with Planning Leaders to provide key insights and align action plans to improve business results.

Collaborate with stakeholders in Demand, Supply, and Inventory Management to ensure analysis of data considers ongoing business activities including HPE strategies, existing projects, new product introductions, etc.

Provide ad hoc analytics support as needed

Provide thought leadership on the design of visual management tools

Skills and Experience

  • 10 years of experience in data analytics
  • Strong analytical and problem solving skills
  • Masters in Statistics / computer science / operations research / data science
  • Deep understanding of machine learning / data mining algorithms and techniques
  • Experiences in processing and analyzing both structured and unstructured data
  • Proven ability to leverage analytical skills and knowledge for business value
  • Solid knowledge of big data processing framework and tools, such as Spark, Hadoop, MapReduce, etc.
  • Proficiency in one or more programming languages including but not limited to : Python, Java, Scala, R
  • Proficiency in statistical tools such as R, SAS
  • Proficiency in visualization tools such as libraries in R, Power BI, Tableau, Qlikview (PowerBi preferred)
  • Ability to effectively communicate analysis results to customers and negotiate options at management levels
  • Experience in working with supply chain, (demand planning, materials management, or inventory management preferred)
  • 1057034

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