Senior Data Scientist

Senior Data Scientist

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:

What you'll do:

We are looking for a curious and creative self-starter who is passionate about data to join the ‘Global Customer Experience Analytics team’ in HPE’s Networking Business Unit. The right person for this role thrives in a fast-paced environment, loves problem-solving, and is a great communicator. 

Key Responsibilities

• Partner with cross‑functional teams to identify high‑impact opportunities for data‑driven solutions.
• Collect and ingest structured and unstructured data from enterprise sources, including IT datasets in Databricks.
• Build curated analytical views to support downstream reporting, analytics, and decision‑making.
• Clean, transform, and prepare datasets using SQL and custom Alteryx workflows.
• Explore large, complex datasets to uncover trends, patterns, and actionable insights.
• Develop, validate, and deploy statistical models and machine learning algorithms to advance business initiatives.
• Create dashboards, reports, and visualizations that clearly communicate insights to technical and non‑technical audiences.
• Ensure data quality, reliability, and consistency across pipelines and analytical workflows.
• Present findings and recommendations to leadership through clear, compelling narratives.
• Stay current with emerging tools, technologies, and best practices in analytics, data science, and machine learning.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related quantitative field. 
• 9+ years of relevant professional experience in analytics, data science, or related domains.
• Strong proficiency in SQL and relational database technologies. 
• Experience working with Databricks, Alteryx, Power BI, and Tableau. 
• Skilled in Python or R, including commonly used statistical and machine learning libraries. 
• Ability to clean, transform, and analyze large, complex datasets.
• Experience with cloud storage and distributed data systems such as AWS S3, Hadoop, Hive, and Snowflake. 
• Familiarity with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems 
• Solid understanding of statistics, probability, and experimental design.
• Strong problem‑solving, storytelling, and communication skills, with the ability to translate technical findings into business insights.
• Proven ability to manage multiple projects, prioritize effectively, and work both independently and collaboratively.

What you need to bring:

• A strong sense of ownership, with the initiative to drive projects from concept to execution and the accountability to deliver high‑quality outcomes.
• Curiosity and a passion for solving ambiguous, open‑ended problems.
• A collaborative mindset and eagerness to partner with diverse teams.
• A balance of technical depth and business intuition.
• A drive to continuously learn, experiment, and improve.

Accountability, Accountability, Active Learning, Active Listening, Bias, Business Reporting, Coaching, Compliance Management, Creativity, Critical Thinking, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Personal Initiative, Policy and procedures, Process Improvements, Quality Initiatives, Regulatory Policies {+ 3 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:

TCP_04

    

    

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.