4 дня назад
Principal Data Scientist (AI/ML)
163 900 - 235 550$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Data Scientist (AI/ML): Defining company-wide data science strategy and building enterprise-scale AI, ML, and agentic systems with an accent on architecture, governance, and business-critical outcomes. Focus on designing MLOps and responsible AI frameworks, evaluating foundation models and platforms, influencing executive decisions, and developing senior technical talent.
Location: Lowell, Massachusetts, United States
Salary: $163,900–$235,550 base pay per year, plus potential performance-based bonus and restricted stock units.
Company
provides a workforce operating platform using workforce insights and AI to help organizations manage people, pay, productivity, and talent.
What you will do
- Define and execute the company-wide data science technical strategy across multiple product areas.
- Architect enterprise-scale data science systems and evaluate major infrastructure, platform, and vendor investments.
- Lead the strategy for agent development, including enterprise governance for safety, reliability, compliance, and responsible AI.
- Identify business-critical opportunities for AI and ML, execute strategic initiatives, and influence executive-level decisions.
- Set the data science innovation agenda and guide adoption of emerging techniques, frameworks, and foundation models.
- Mentor senior individual contributors and managers while shaping hiring, career frameworks, and organizational learning programs.
Requirements
- PhD in a quantitative field with 8+ years of industry experience, or a master’s degree with 12+ years of experience in data science, machine learning, or a related discipline.
- Recognized technical authority with experience setting company-wide data science strategy and delivering business-critical results.
- Experience designing and governing enterprise-scale systems, including MLOps, model governance, data quality, responsible AI, and compliance.
- Strong command of ML frameworks, cloud platforms such as GCP and Agent Platform, BigQuery or equivalent, and the modern AI/ML toolchain.
- Hands-on experience building and delivering production ML and AI models across problem framing, feature engineering, development, evaluation, and monitoring.
- Experience mentoring staff-level individual contributors and engineering managers, with exceptional executive-level communication skills.
Nice to have
- Experience with enterprise-scale agentic AI systems, multi-agent architectures, and safety, reliability, and compliance frameworks.
- Experience advising on AI/ML infrastructure vendors, platform commitments, and build-versus-buy decisions.
- Deep familiarity with the human capital management industry and workforce management, talent, and pay solutions.
- Advanced expertise in fairness, interpretability, privacy-preserving ML, model risk management, and regulatory compliance.
Culture & Benefits
- Work on AI-powered workforce solutions serving millions of employees and managers.
- Benefits, flexibility, and performance-based compensation are available for eligible employees.
- Employees may receive restricted stock unit awards as part of total compensation.
- promotes continuous learning, collaboration, and organizational development.
Hiring process
- Reasonable accommodation is available during the application and interview process.
- Employment eligibility is subject to ’s hiring requirements; visa sponsorship is not available for this position.
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