Overnight Machine Learning Quant Jobs in Worcester, MA

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

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

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.

Master 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.

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.

Master

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

HPE 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 we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees.

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.