Job Overview

Hewlett Packard Enterprise is hiring a Data Scientist for its Finance and Corporate Strategy team in Bengaluru, Karnataka, India. The position is designed as onsite, with an expectation that the successful candidate will primarily work from an HPE office.

The role focuses on using data analysis, advanced analytic models, and scientific methods to transform structured and unstructured data into meaningful insights. These insights are intended to support business decision-making, influence initiatives, and align analytical work with wider business objectives.

Role and Responsibilities

• Participate in the analysis and validation of data sets, solutions, and user experience.
• Support the development, enhancement, and maintenance of client metadata based on defined analytic objectives.
• Load data into the relevant infrastructure when required and contribute to the creation of a hypothesis matrix.
• Prepare portions of data for Exploratory Data Analysis (EDA) and hypothesis development.
• Contribute to building models for the overall solution and help validate model results and performance.
• Support the selection of models that contribute to the overall analytical solution.
• Assist with research, identification, and delivery of data science solutions for business problems.
• Support the visualization of model insights, user experience, and configuration tools for analytics models.

Data Science Responsibilities

The role involves applying data science methodologies to business problems. The job family description emphasizes advanced analytic models, including approaches based on statistics, operations research, computer science, and process-oriented methods.

The Data Scientist will contribute to transforming structured and unstructured data into actionable information and insights. The position also involves using visualization techniques to communicate descriptive, inferential, and predictive insights in understandable business stories.

The role further supports embedding analytics into business processes and applications while combining business understanding with scientific methods to address business requirements.

Required Education

A Bachelor's degree in Statistics, Operations Research, Computer Science, or an equivalent area is required.

Knowledge and Skills

• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic skills in data mapping, data transfer, and data migration.
• Basic understanding of analytics software such as R, SAS, SPSS, and Python.
• Basic knowledge of machine learning, data integration, and modeling.
• Basic understanding of ETL tools, including examples such as Informatica, Ab Initio, and Talend.
• Basic communication and presentation skills.
• Basic knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.

Technologies and Analytical Skills

• Python – Listed as an example of analytics software used in data science work.
• Machine Learning – Basic knowledge of machine learning and modeling skills is required.
• Extract Transform Load (ETL) – Basic knowledge of ETL tools is expected for data integration activities.
• Data Science – The role requires knowledge of data science methodologies and supports data science solution development.
• R, SAS, and SPSS – Listed as examples of analytics software, but these technologies are not available as matching entries in the supplied SoftoJobs technology master.
• Informatica, Ab Initio, and Talend – Listed as examples of ETL tools, but these technologies are not available as matching entries in the supplied SoftoJobs technology master.

Management Level and Work Context

The management level definition describes a role that contributes to assignments of limited scope by applying technical concepts and theoretical knowledge gained through specialized training, education, or previous experience. The position acts as a team member by providing information, analysis, and recommendations that support team efforts.

The role also involves exercising independent judgment within defined parameters. Within the Finance and Corporate Strategy organization, analytical work supports the gathering and analysis of financial data and contributes to business decision-making and strategic objectives.

Work Mode and Location

This Data Scientist position is based in Bengaluru, Karnataka, India. The work arrangement is explicitly stated as onsite, with the expectation that the employee will primarily work from an HPE office. The position is listed as Full time.

Who Should Apply

This opportunity is suited to candidates who hold a Bachelor's degree in Statistics, Operations Research, Computer Science, or an equivalent field and have foundational knowledge of data science, analytics, machine learning, modeling, data integration, ETL, and data visualization.

Candidates should also be able to understand business requirements and data science objectives, contribute to data preparation and exploratory analysis, participate in model development and validation, and communicate analytical findings through appropriate visualization techniques.

How to Apply

Apply now through SoftoJobs to explore this opportunity.