Senior Data Scientist Moveworks

What you get to do in this role:

• 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.

Qualifications :

To be successful in this role you have:

• 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.

Additional Information :

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

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Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

No

Employment Type :

Full-time