Senior AI & Data Scientist

Senior AI & Data Scientist

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

   

Key Responsibilities

• Design, develop, and deploy AI, machine learning, and generative AI solutions that drive sales performance and operational efficiency.
• Develop predictive models for sales forecasting, pipeline health, lead scoring, opportunity prioritization, territory planning, and customer segmentation.
• Build AI-powered copilots, intelligent assistants, and Retrieval-Augmented Generation (RAG) solutions to improve seller productivity and streamline sales processes.
• Analyze CRM, sales, customer, and operational data to identify trends, risks, and growth opportunities.
• Partner with Sales, Sales Operations, Revenue Operations, and IT leaders to identify high-value AI use cases and deliver scalable solutions aligned with business objectives.
• Build and maintain production-ready AI models and MLOps processes, ensuring reliability, scalability, and ongoing performance monitoring.
• Develop dashboards and executive-level reporting that provide actionable insights into pipeline performance, forecast accuracy, sales productivity, and key commercial metrics.
• Stay current on emerging AI technologies and recommend innovative solutions that improve commercial effectiveness and customer engagement.

Qualifications

• Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science, machine learning, or AI, including experience deploying enterprise-scale AI solutions.
• Strong proficiency in Python, SQL, and modern machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and generative AI frameworks.
• Experience with Salesforce or similar CRM platforms, sales analytics, and enterprise data environments.
• Experience with cloud platforms (Azure preferred), MLOps, and visualization tools such as Power BI or Tableau.

Preferred Qualifications

• Experience supporting Sales, Sales Operations, or Revenue Operations within an enterprise technology, networking, SaaS, or cloud organization.
• Strong understanding of sales forecasting, pipeline analytics, territory management, account planning, pricing, and sales performance metrics.
• Excellent communication and presentation skills with the ability to influence executive stakeholders.
• Demonstrated ability to lead cross-functional AI initiatives and drive the adoption of data-driven decision-making across commercial organizations.

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.

#unitedstates#networking

Job:

Sales Operations

Job Level:

Master

    

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 120,000 - 228,000 in Massachusetts
The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

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.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.