This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. HPE Operations is our creative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers' outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today's fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.
Uses available data elements, defines business rules, and solution objectives.
May load data into the infrastructure, creates hypothesis matrix, and identifies available data to prepare for the Exploratory Data Analysis (EDA) and hypotheses.
Builds models to supports/contribute to the overall solution, validates initial model and validates results & performance after the implementation.
Researches, identifies,



and aids in delivering data science solutions to problem domain. Contributes significantly in measurement of business performance based on the model deployed. Education And Experience Required
~ Master´s degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Bachelor´s Degree in these areas and at least 2-3 years of relevant experience,

Working knowledge of data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
Understanding of supply chain business requirements, how they relate to data science objectives and how to translate them into mathematical models.
Strong background and working proficiency in effective use of analytics software (eg. R, Python, SAS, SQL) for model building, testing & deployment
Experience with Docker, GitHub, Coding IDE platforms.
Working knowledge of relevant data programming languages.
Working knowledge of data visualization tools - Tableau/Python.
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note:



This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
operations
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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📌 Data Scientist SQL/python (Bengaluru)
🏢 Hewlett Packard Enterprise Software
📍 Bengaluru