Planning and Materials Management COE Data Scientist
- Hewlett Packard
- 0 - 3 Years
- Bengaluru
- 3 years ago
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Job Description
The HPE Supply Chain Planning organization represents a team of responsive, global product managers and experts who collaborate and develop accurate requirement plans for the wide variety of products that HPE offers its customers. This global organization, focused on the services-led and software-enabled infrastructure and solutions, collaborate with functions like NPI, Product Engineering, Sourcing, PDM, Manufacturing, Logistics, & Strategy teams within the Supply Chain which leads to an accurate requirements plan that is communicated to our suppliers.
The overall goal of this position is to fully own and drive Master Data Management transformation initiatives from Demand Planning, Supply Planning, and Ariba Signal Collaboration which will enable the Planning organization to carry out their functions and tasks in a streamlined and uninterrupted manner. Key responsibility of this position is the ability to deliver best in class planning master data solutions and operations (processes and systems) to the company
Supply Chain Planning and Materials CoE Data Scientist is a new role to HPE's Planning and Materials Management organization residing in Bangalore, India. This role will be key in driving the organization through data-based recommendations/actions to achieve better results in all metrics related to Demand, Supply, and Inventory/ Materials Management and cost. The Data Scientist will be leveraging advanced analytic, technical, and business skills to drive innovative methodologies for driving improvements for the business. Provides thought leadership in designing the supply chain for resilience and digital transfer
- Defines and develops the value proposition for supply chain analytics solutions based on user needs, business value, industry requirements and understanding of advanced analytic models (statistical, operations research, predictive and prescriptive).
- 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, discovers and delivers compelling and clear business insights across the planning and materials management organization.
- Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Application Developers.
- Drives 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.
- As a data evangelist, leads weekly meetings with Planning Leaders to provide key insights and align action plans to improve business results.
- Collaborates with stakeholders in Demand, Supply, and Inventory and supplier / materials Management to ensure analysis of data considers ongoing business activities including HPE strategies, existing projects, new product introductions, etc.
- Participates in supply chain design strategy for resilience and digital transformation.
- Develops agile and scalable models to provide end to end and real time visibility of supply chain
- Provides ad hoc analytics support to planning and materials management functions as needed
- Provides thought leadership on the design of visual management tools and the usage of data science, machine learning, artificial intelligence and other tools to advance supply chain performance.
- Ph.D or Masters in Statistics / computer science / operations research / data science / industrial engineering / supply chain / manufacturing systems
- Typically 10+ years of experience in data analytics
- 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)
Hewlett Packard Enterprise Values:Partner. Innovate. Act.
We live by three core values that drive our business.
Simplified, we are good partners, great innovators and we make things happen.
Extensive social benefits, flexible working hours, a competitive salary and shared values, make Hewlett Packard Enterprise one of the world's most attractive employers. At HPE our goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.
If you are looking for challenges in a pleasant and international work environment, then we definitely want to hear from you. Apply now below, or directly via our Careers Portal at www.hpe.com/careers
You can also find us on:
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HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status
Employement Category:
Employement Type: Full timeFunctional Area: Purchase
Role Category: Planning and Materials Management COE Data Scientist
Role/Responsibilies: Planning and Materials Management COE Data Scientist
Contact Details:
Company: Hewlett PackardLocation(s): Bengaluru
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Keyskills: Planning and Materials Management COE Data Scientis
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Hewlett Packard
Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world mak...
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