Senior Data Scientist

ServiceNow•Mountain View, CA

20d•$161,300 - $274,200•Onsite

About The Position

ServiceNow is seeking a Senior Data Scientist to join their team. This role involves partnering with executive, product, and engineering teams to define and govern critical product metrics, ensuring consistency and accuracy across the company. The Senior Data Scientist will apply statistical and machine learning techniques to identify key drivers of core metrics, forecast their impact, and analyze engineering system performance. The role also includes leading the development of best practices, tools, and processes for scalable analytical systems, driving the development of DS workflow and AI-native integrations, and providing technical mentorship to junior data scientists. The company emphasizes an AI-native culture and freeing people from busywork to focus on meaningful work.

Requirements

M.S. or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of progressive experience building and deploying production analytics or ML solutions for enterprise software products.
Demonstrated expertise in LLM evaluation methodology, including dataset curation, benchmarking, and regression detection for AI/LLM systems.
Proven experience architecting scalable data pipelines using distributed systems (e.g., PySpark/Spark SQL), orchestration frameworks (e.g., Airflow), and cloud platforms (e.g., AWS EMR, S3, Snowflake or equivalent).
Proficiency in Python and SQL; track record of translating complex analytical work into measurable business outcomes and operational KPIs.
Demonstrated ability to lead technical workstreams and drive cross-functional alignment.
Experience providing technical leadership and mentoring to data scientists or engineers.
Experience building evaluation pipelines or harnesses for agentic or LLM-powered systems.
Experience with conversational analytics, NLP, or AI-assisted data exploration tooling.
Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.
Experience using modern AI productivity tooling (e.g., Claude, Cursor, Codex) within an enterprise SDLC.

Responsibilities

Partner with executive, product and engineering teams to define and govern Moveworks’ critical product metrics, ensuring consistency, accuracy, and alignment across the company.
Apply rigorous statistical and machine learning techniques to unearth the critical levers that drive our core metrics. Your insights will be the bedrock of our product initiatives, and you will be accountable for forecasting and measuring the impact of these initiatives on business outcomes.
Analyze and measure core engineering system performance, isolating signal from noise by controlling for confounding variables (e.g., usage patterns, resource supply, and skill activation).
Lead the design, development, and ownership of best practices, tools, and processes for building scalable and robust analytical systems. These systems will automate established analyses and empower cross-functional partners with self-serve insights.
Drive the development of DS workflow and AI-native integrations (e.g., Superset MCP, Claude integrations) that extend self-serve data access and reduce time-to-insight for stakeholders.
Provide technical mentorship to junior data scientists and contribute to hiring and team-building, establishing best practices for data modeling, pipeline design, and evaluation methodology.