Data Science Manager

Data Science Manager

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in innovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.

DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction—delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation. Our work is fuelled by a passion for self‑service, intelligent automation, and building digital experiences that are intuitive, scalable, and human‑centric.

Job Family Definition:

Design, build, and operationalize advanced analytics solutions by leveraging modern statistical methods, machine learning techniques, operations research, and scalable data systems to transform diverse data sources into actionable insights that accelerate product and business decision‑making.

Applies cutting‑edge data visualization and storytelling techniques to translate complex analytical findings into clear, intuitive narratives that guide product, engineering, and business stakeholders across descriptive, diagnostic, and predictive domains.

Management Level Definition:

Oversees delivery of high‑impact programs and initiatives that span advanced tactical execution and broad strategic objectives. Ensures teams are aligned to priorities, operating efficiently, and equipped with the clarity, resources, and technical direction required to achieve results.

Builds and develops talent through proactive coaching, performance management, recruiting, and succession planning. Champions a culture of innovation, accountability, inclusion, and data‑driven decision‑making.

What you’ll do:

Responsibilities:

• Lead analytical strategy to inform product vision, roadmap, and customer experience improvements.
• Define and maintain core product metrics; build scalable measurement frameworks for rapid iteration.
• Translate complex data into clear insights and visual stories that influence product and executive decisions.
• Partner with Product, Engineering, and Design to identify opportunities, optimize experiences, and embed analytics into product workflows.

What you need to bring:

Education and Experience Required:

• Master’s or Master’s degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology or Data Analysis or equivalent work experience.
• Typically 12+ years of relevant experience.
• Master's degree or advanced degree in related field preferred.
• 5+ years of experience leading people and teams.

Knowledge and Skills:

• Expertise in advanced data science and machine learning techniques (e.g., regression, neural networks, decision trees, clustering, text/NLP).
• Proficiency with analytics and statistical tools such as Python, R, SAS, and SPSS.
• Strong experience with data integration and modeling tools (e.g., Informatica, Ab Initio, Talend).
• Excellent communication and storytelling skills for technical and executive audiences.
• Solid programming skills in Python, SQL, R, SAS, Java, and Unix shell scripting; experience with Hadoop or distributed data platforms is a plus.
• Strong data visualization capabilities using Tableau, Spotfire, QlikView, or similar tools.

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

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. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

#india#networking

Job:

Engineering

Job Level:

Manager_2

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.