Job Overview

HPE is hiring a Data Scientist for a full-time onsite position in Bengaluru, Karnataka, India. The role is part of the Finance and Corporate Strategy team, supporting capital strategies through financial data analysis, business insights, and initiatives aligned with broader company objectives.

The position applies analytical models and scientific methods to structured and unstructured data. It supports data preparation, model development and validation, data science research, visualization, and the transformation of analytical findings into useful business insights.

Key Responsibilities

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

Education

The JD requires a Bachelor's degree in Statistics, Operations Research, Computer Science, or equivalent. The supplied qualification master provides B.Sc. with Statistics as a mapped branch and engineering qualifications with Computer Science branches. Operations Research does not have a matching mapped branch for the supplied qualification records.

Required Skills

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

Technologies and Tools

• Python – Listed as an example of analytics software used in the role.
• Machine Learning – Required at a basic knowledge level for data science and modeling work.
• ETL – Required as part of the stated data integration and ETL tool knowledge.
• R, SAS, and SPSS – Listed as analytics software examples.
• Informatica, Ab Initio, and Talend – Listed as examples of ETL tools.

Data Science and Analytics

The role involves using advanced analytical models and methodologies to transform structured and unstructured data into meaningful and actionable information. It also involves visualization techniques that help translate descriptive, inferential, and predictive insights into understandable business stories.

The position combines business understanding and scientific methods to address business problems. It includes contributing to model development, validating results and performance, supporting data science research, and helping visualize model insights.

Experience

The provided JD does not specify a numeric professional experience requirement. The management-level description states that the role contributes to assignments of limited scope using technical concepts and theoretical knowledge gained through specialized training, education, or previous experience.

Work Mode & Location

This is a full-time onsite Data Scientist opportunity based in Bengaluru, Karnataka, India. The JD explicitly states that the role is designed as onsite, with an expectation that the employee will primarily work from an HPE office.

Who Should Apply

The role is suited to candidates with the stated bachelor's-level educational background and foundational knowledge of data science, analytics, machine learning, modeling, data integration, ETL, and visualization. Communication and presentation skills are also listed as required knowledge and skills.

How to Apply

Apply now through SoftoJobs to explore this opportunity.