Data Scientist

Hewlett Packard Enterprise India Private Limited; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Health & Well-being

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise India Private Limited is looking for a Data Scientist in Bengaluru, India. This hybrid role involves working an average of 2 days per week from the office, focusing on analytics and model development.

The ideal candidate should have a Master’s Degree and 5-6 years of experience in the field, alongside advanced Python skills and a strong understanding of data science methodologies. Benefits include health and well-being initiatives and personal development opportunities.

Qualifications

• Master’s Degree in a relevant field preferred.
• 5-6 years of relevant experience required.
• Advanced communication and presentation skills.

Responsibilities

• Define analytics solution objectives based on user needs.
• Develop and enhance client analytic models.
• Apply best practices to analytics solutions.

Skills

Advanced knowledge of data science methodologies

Ability to translate business requirements

Advanced understanding of analytics software (Python)

Programming knowledge in Python, SQL, R, SAS, Java, Unix Shell scripting

Advanced data visualization skills

Education

Master’s Degree in Management, Engineering, Operations Research, Computer Science

Tools

Power BI

R

Qlikview

Hadoop

Job description

Job Description

Data Scientist – a hybrid role with an expectation to work on average 2 days per week from an HPE office.

Responsibilities

• Formulate and define analytics solution objectives and technical requirements based on user needs, business processes, industry requirements, and advanced analytic models.
• Conceptualize, build, develop, and enhance client analytic models.
• Select appropriate analytic modeling methodology considering use case, data, cost, and timing constraints to deliver business‑focused insights.
• Embed analytic models into operational business processes in collaboration with Application Developers.
• Measure business performance based on the models.
• Apply best practices to analytics solutions and contribute to the development of improved practices.
• Lead model enhancements.
• Summarize complex ideas with visual models to simplify user experience.
• Communicate analytics solutions to appropriate stakeholders.

Knowledge and Skills

• Advanced knowledge of data science methodologies including classical 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 for measurable outcomes.
• Advanced understanding of analytics software (Python) and deployment architectures.
• Advanced communication and presentation skills.
• Strong interpersonal skills and effectiveness across geographical boundaries.
• Programming knowledge in Python, SQL, R, SAS, Java, Unix Shell scripting.
• Desired working knowledge of Hadoop framework.
• Advanced data visualization skills with tools such as Power BI, R, and Qlikview.

Education and Experience

• Master’s Degree in Management, Engineering, Operations Research, Computer Science, or equivalent (preferred).
• At least 5–6 years of relevant experience.

Additional Skills

• Accountability
• Action Planning
• Active Learning
• Active Listening
• Agile Methodology
• Agile Scrum Development
• Analytical Thinking
• Bias Awareness
• Coaching
• Creativity
• Critical Thinking
• Cross‑Functional Teamwork
• Data Analysis Management
• Data Collection Management
• Data Controls
• Design Thinking
• Empathy
• Follow‑Through
• Group Problem Solving
• Growth Mindset
• Intellectual Curiosity
• Long‑Term Planning
• Managing Ambiguity

Benefits

Health & Well‑being, Personal & Professional Development, Unconditional Inclusion.

Equal Employment Opportunity

Hewlett Packard Enterprise is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions are based on qualifications, merit, and business need. HPE complies with all applicable laws related to employer use of arrest and conviction records, including considerations for qualified applicants with criminal histories.