Data Scientist II

Hewlett Packard Enterprise; Bengaluru; Hybride; INR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Health & Wellbeing

Development Opportunities

Inclusive culture

Résumé du poste

Hewlett Packard Enterprise Development LP in Bengaluru is seeking a Data Scientist II for a hybrid role, requiring about 2 days per week at an HPE office. You will apply advanced analytics to transform data into actionable insights.

The role emphasizes statistical modeling, machine learning, data visualization, and collaboration across teams to deliver business outcomes.

Qualifications

• 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.

Responsabilités

• Applies basic knowledge of the business need to formulate and define analytic objectives.
• Uses available data elements, defines business rules, and solution objectives.
• Develops, enhances and maintains a metadata based on analytic 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.
• If needed, leads the model enhancements.
• Create visualization of the model’s insights for easy consumption.

Connaissances

Data science methods

Regression

Neural networks

Text mining

R language

Python

SQL

Tableau

SAS

Docker

GitHub

IDE platforms

Formation

Master’s in Statistics/OR/CS

Outils

Docker

GitHub

Python

R

SQL

Tableau

SAS

Description du poste

Data Scientist II

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

HPE Operations is our innovative 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. Join us and redefine what’s next for you.

Job Family Definition

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. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

What you’ll do

• Applies basic knowledge of the business need to formulate and define analytic objectives.
• Uses available data elements, defines business rules, and solution objectives.
• Develops, enhances and maintains a metadata based on analytic 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.
• If needed, leads the model enhancements.
• Create visualization of the model’s insights for easy consumption.

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,

What you need to bring

• 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.
• Good to have knowledge of Alteryx Solid communication and presentation skills.
• Working knowledge of relevant data programming languages.
• Strong interpersonal skills and effectiveness in working across geographical boundaries.
• Working knowledge of data visualization tools - Tableau/Python.

What We Can Offer You

• Health & Wellbeing 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 also invest in your career because the better you are, the better we all are.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness.

Let’s Stay Connected

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job: Engineering Job Level: TCP_02

Equal Employment Opportunity

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

E-Verify

HPE is an E-Verify employer. E-Verify is an Internet based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities.