5 дней назад
Senior AI & Data Scientist
120 000 - 228 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI & Data Scientist (AI/ML): Designing and deploying enterprise AI, machine learning, and generative AI solutions for sales forecasting, pipeline analytics, intelligent assistants, and commercial reporting with an accent on predictive modeling, LLMs, RAG, and production MLOps. Focus on building scalable AI products, integrating CRM and operational data, monitoring model performance, and driving adoption with sales and executive stakeholders.
Location: Hybrid, with an average requirement of 2 days per week from an HPE office in the United States; salary information is specified for Massachusetts
Salary: USD 120,000–228,000 annual base salary in Massachusetts. Variable incentives may also be offered.
Company
is a global edge-to-cloud technology company that helps organizations connect, protect, analyze, and act on data and applications.
What you will do
- Design, develop, and deploy AI, machine learning, and generative AI solutions that improve sales performance and operational efficiency.
- Build predictive models for sales forecasting, pipeline health, lead scoring, opportunity prioritization, territory planning, and customer segmentation.
- Develop AI-powered copilots, intelligent assistants, and Retrieval-Augmented Generation solutions for seller productivity.
- Analyze CRM, customer, sales, and operational data to identify trends, risks, and growth opportunities.
- Partner with Sales, Sales Operations, Revenue Operations, and IT leaders to identify high-value use cases and deliver scalable solutions.
- Build production-ready models, MLOps processes, dashboards, and executive reporting while monitoring reliability and performance.
Requirements
- 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 enterprise-scale AI deployments.
- Strong proficiency in Python, SQL, PyTorch, TensorFlow, and Scikit-learn.
- Experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation, AI agents, and generative AI frameworks.
- Experience with Salesforce or similar CRM platforms, sales analytics, enterprise data environments, cloud platforms, MLOps, and visualization tools such as Power BI or Tableau.
Nice to have
- Experience supporting Sales, Sales Operations, or Revenue Operations in an enterprise technology, networking, SaaS, or cloud organization.
- Knowledge of sales forecasting, pipeline analytics, territory management, account planning, pricing, and sales performance metrics.
- Experience leading cross-functional AI initiatives and influencing executive stakeholders.
Culture & Benefits
- Hybrid work arrangement with flexibility to manage work and personal needs.
- Comprehensive health, financial, and emotional wellbeing benefits for employees and their loved ones.
- Personal and professional development programs supporting career growth and movement across divisions.
- Inclusive workplace that values varied backgrounds and individual uniqueness.
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