Data Scientist

Hewlett Packard Enterprise; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Comprehensive health & wellbeing benefits

Professional development programs

Inclusive work culture

Job summary

Hewlett Packard Enterprise Development LP is seeking a Data Scientist for a hybrid position in India. In this role, you will develop analytics solutions to enhance customers' digital transformation efforts.

Responsibilities include formulating analytics objectives, developing models, and collaborating with developers. Candidates must have a Master's degree and 5–6 years of relevant experience in data science, with advanced proficiency in Python and significant knowledge of analytical techniques.

Comprehensive health benefits and professional development programs are offered.

Qualifications

• Minimum 5–6 years of relevant experience in data-science analytics.
• Ability to translate business requirements into mathematical models.
• Experience working across geographical boundaries.

Responsibilities

• Define analytics solution objectives and technical requirements.
• Develop and enhance client analytic models using statistical techniques.
• Measure business performance based on developed models.

Skills

Data science methodologies

Python

SQL

Data visualisation tools (Power BI, R, QlikView)

Machine learning techniques

Education

Master’s degree in Management, Engineering, Operations Research, Computer Science, or a related field

Tools

Hadoop

SAS

Java

Unix Shell scripting

Job description

Data Scientist – Hybrid

This role is designed as a hybrid position, with an expectation of working an average of 2 days per week from an HPE office.

Job Summary

As part of HPE Operations, you will advise, integrate, and accelerate customers’ outcomes from their digital transformation by developing analytics solutions that translate business requirements into measurable insights.

Responsibilities

• Formulate and define analytics solution objectives and technical requirements based on user needs, business processes, and advanced analytic models.
• Conceptualise, build, develop, and enhance client analytic models using appropriate statistical, machine‑learning, and data‑mining techniques.
• Select the relevant modelling methodology for each use case, considering structured and unstructured data, cost and timing constraints.
• Embed analytic models into operational systems by collaborating with Application Developers.
• Measure business performance based on developed models and drive continuous improvement.
• Apply best practices in analytics solution development and contribute to improved methodologies.
• Lead model enhancements and support the team in maintaining high quality solutions.
• Create visual representations of model insights to simplify user experience.
• Communicate analytical solutions and insights to stakeholders effectively.

Knowledge and Skills

• Advanced knowledge in data‑science methodologies such as regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Ability to translate business requirements into mathematical models and data‑science objectives.
• Advanced proficiency in Python and analytics deployment architectures.
• Strong programming knowledge in Python, SQL, R, SAS, Java, and Unix Shell scripting, with desired experience in Hadoop.
• Understanding of data‑visualisation tools such as Power BI, R, and QlikView.
• Excellent communication, presentation, and interpersonal skills.
• Experience working across geographical boundaries and in a collaborative team environment.

Education and Experience

• Master’s degree in Management, Engineering, Operations Research, Computer Science, or a related field.
• Minimum 5–6 years of relevant experience in data‑science analytics.

Benefits

• Comprehensive health & wellbeing benefits.
• Professional development programs to support career growth.
• Inclusive work culture that values diverse backgrounds.

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 based on qualifications, merit, and business need.