Senior Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist Mountain View, CALIFORNIA, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . Job Description: What you get to do in this role: Collaborate with Head Quarters BI team to understand business requirements and design appropriate data solutions to meet business need Leverage prior experience and industry standard best practices to analyze cross functional data and provide insights to business teams Assist stakeholders with data analysis, design data models & develop DB Views, Calculation Views etc. in SAP HANA to meet business need Implement snapshot processes, data refresh schedules, exception handling procedures as necessary Define required data integration requirements between various systems and work with extended team to get them created Follow all documented architecture, design & deployment processes to ensure compliance with policies Partner with Global BI team to help implement solutions for end user adoption Keep pace with latest technology advances in SAP

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