Junior Data Scientist

Job description

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 make IT more efficient, more productive and more secure.

At HPE, you'll build the future—one big idea at a time. Ready to unleash your professional potential? You'll use your experience and scientific knowledge to develop, modify, design, and test products, software, systems, and processes. And you'll help drive our growth as a technology leader. If solving the world's biggest challenges sounds like the right career path for you, read on.

Enterprise Group works to streamline innovation and simplify IT with superior solutions. By combining ESSN (Enterprise Server, Storage and Networking) and Technology Services into one division, we gain a strategic advantage in our focus on “Converged Infrastructure”. The HPE Enterprise Group supports our customers with the transformation and integration of their technology. We are there for our customers – come join us!

Data Scientist

We are looking for an outstanding data scientist to join Supply Chain Analytics & Digital Innovation team at EG's Global Supply Chain Organization. You will have the opportunity to dive all the ‘big data' you can get your hands on and make a difference for customers, shareholders, and employees. You will develop innovative solutions/ models to drive and build cutting edge technologies in big data, machine learning, real time data analytics, and predictive analytics to enable best business decisions by providing tools and actionable insights to business partners.

The Data Scientist is responsible for:

· Build complex data sets from multiple data sources, both internally and externally.
· Build learning systems to analyze and filter continuous data flows and offline data analysis.
· Collaborate with cross-functional partners across the business.
· Collaborate with project teams to implement data modeling solutions.
· Combine data features to determine search models.
· Conduct advanced statistical analysis to determine trends and significant data relationships.
· Develop models of current state in order to determine improvements needed.
· Develop multiple custom data models to drive innovative business solutions.
· Drives the execution of multiple business plans and projects.
· Ensures business needs are being met.
· Interpret data to identify trends to go across future data sets.
· Research new techniques and best practices within the industry.
· Scale new algorithms to large data sets.
· Train algorithms to apply models to new data sets.
· Translate business needs into data requirements.
· Validate models and algorithmic techniques.

Responsibilities:

· Develop models and algorithms and implement appropriate modeling techniques to drive innovation in supply chain analytics that enables business partners to answer complex business questions at ease.
· Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
· Partnering closely with cross-functional groups such as supply chain/operations, merchandising, site analytics, @labs technology teams to define and develop data modeling initiatives.
· Collaborate with engineers to implement and deploy scalable solutions.
· Build learning systems that monitor performance trend and build solutions to alert business partners for proactive actions.
· Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
· Provide guidance to cross-functional leadership regarding data modeling possibilities.

Desired profile

Education and experience:
·  MS or PhD in Engineering, Statistics, Mathematics, Computer Science or equivalent scientific degree.
·  Minimum 2-5 years of experience.
Knowledge and skills:
·  Experience working with large data sets.
·  Deep knowledge of statistics, machine learning, and optimization.
·  Experience with R, Matlab, SQL and Python is required.
·  Excellent written and verbal communication skills.
Hewlett Packard Enterprise Values:
·  Partnership first: We believe in the power of collaboration - building long term relationships with our customers, our partners and each other.
·  Bias for action: We never sit still - we take advantage of every opportunity.
·  Innovators at heart: We are driven to innovate - creating both practical and breakthrough advancements.
HPE is an EOE / Female / Minority / Individual with Disabilities / Protected Veteran Status

What do we offer?
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

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