Advanced Data Scientist

Job Description

Job Description

Overview

Recognized by Clarivate, Forbes, the Human Rights Campaign, and Military Friendly® for innovation, workplace excellence, inclusion, and veteran support.

A global building automation and industrial technology company with 100+ years of history , 25,000+ patents , and 7,000+ engineers , operating across 70+ countries and 4 major business areas . Its technologies support industries including buildings, manufacturing, healthcare, data centers, and utilities worldwide.

• 401(k) match: Employer matches 87.5% of the first 8% of eligible pay, up to 7% of base salary; generally fully vested after 3 years.
• Education support: Up to $5,250/year for eligible undergraduate programs and $7,500/year for graduate programs.
• Paid parental leave: 8 weeks (40 business days) for birth, adoption, or foster-care placement.
• Paid time off: 56 hours of paid sick time annually, plus vacation and 12 paid holidays.
• Health coverage: Medical, dental, and vision plans, including an HSA-eligible medical option and 100% in-network preventive care.
• HSA & FSA: Tax-advantaged accounts for eligible healthcare, dental, vision, and dependent-care expenses.
• Disability coverage: Short-Term Disability provides 100% of base pay for up to 8 weeks, then 70% through week 26; Long-Term Disability provides 60% of base pay after Short-Term Disability.
• Employee support: Company-paid with 8 sessions per issue per year, plus health and wellness resources.
• Employee support: Company-paid Employee Assistance Program with 8 sessions per issue per year, plus health and wellness resources.
• Insurance & discounts: Company-paid basic life insurance of 1× annual base pay, Accidental Death & Dismemberment coverage, Business Travel Accident Insurance, and employee discounts.

Benefits may vary by location, position, employee classification, and eligibility.

• Bachelor's degree from an accredited institution in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative field.
• 5+ years of experience in data science, machine learning, artificial intelligence, and advanced analytics, including developing predictive models using Python and modern machine learning frameworks.
• 3+ years of experience with Salesforce technologies, including Agentforce, Einstein AI, Data Cloud, Service Cloud, and Sales Cloud, delivering AI-driven business solutions.
• 3+ years of experience applying statistical modeling, predictive analytics, experimentation, and large-scale data analysis while collaborating with stakeholders to drive data-driven business decisions.

• Design, develop, and deploy advanced machine learning and AI solutions that address complex business challenges.
• Lead the development of intelligent agent solutions leveraging Salesforce Agentforce and Einstein AI capabilities.
• Build predictive models for customer behavior, lead scoring, opportunity forecasting, churn prediction, and service optimization.
• Partner with CRM, sales, service, and marketing teams to define AI use cases, success criteria, and measurement frameworks.
• Develop and operationalize generative AI solutions using large language models, retrieval-augmented generation, and enterprise AI architectures.