ServiceNow · 16 hours ago
Sr. Staff Data Scientist
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Business Process Automation (BPA)Cloud Management
Growth OpportunitiesH1B Sponsor Likely
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Responsibilities
Identify and investigate complex customer challenges across product areas to inform the product development lifecycle—from discovery through concept validation, adoption, and use.
Autonomously prioritize and execute data and metrics projects to enhance user experience and product adoption.
Collaborate with Researchers, Product Managers, Designers, Engineers, and other cross-functional teams, using data and metrics to drive product decisions and optimize processes.
Create data visualizations and dashboards (e.g., Tableau, Matplotlib, Seaborn) to clearly convey the "So What" of your analysis to stakeholders.
Advance modeling of existing product capabilities, including noise reduction, anomaly detection, and root cause analysis, to achieve higher performance and impact.
Explore and analyze existing datasets to generate hypotheses and identify opportunities for high-impact, organization-level initiatives.
Present findings to both expert and non-expert stakeholders in a compelling and actionable manner.
Provide leadership, vision, and direction for large-scale collaborative efforts.
Champion data analytics and telemetry by setting high standards, developing best practices, mentoring team members, and contributing to the hiring process for data science talent.
Qualification
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Required
Bachelor’s degree or higher in computer science, data science, statistics, mathematics, Engineering, Cognitive Science, or a related field—or an equivalent combination of education and experience.
6+ years of experience in data science, analytics, or data engineering, including experience deploying code into production.
Proficiency in data visualization tools (e.g., Tableau, Power BI), SQL, and statistical analysis.
Strong data engineering skills, including data processing, cleaning, and integration using tools like SQL, Excel, ETL, and APIs; experience collecting and integrating data from multiple systems.
Expertise in using statistical techniques to analyze large, diverse datasets—such as behavioral data (e.g., drop-off points)—and conducting A/B testing to optimize user experiences.
Proven ability to develop statistical models to understand and interpret user experiences.
Strong business acumen with the ability to identify and prioritize key questions for the product team to address through data.
Excellent cross-functional collaboration skills, working effectively with UX Research, Product Management, Engineering, and Design teams.
Exceptional ability to communicate complex data and insights to non-technical stakeholders clearly and effectively.
Willingness to learn the culture of UX and adapt to changes.
Preferred
Experience collaborating with UX Research on cross-functional projects.
Expertise in descriptive, inferential, and multivariate statistics, including experimental design, hypothesis testing, and regression modeling.
Background in advanced statistical modeling (e.g., GLM, Bayesian models) and/or machine learning.
Strong understanding of AI and Generative AI (GenAI) applications.
Benefits
Health plans, including flexible spending accounts
A 401(k) Plan with company match
ESPP
Matching donations
A flexible time away plan
Family leave programs
Company
ServiceNow
ServiceNow is an AI platform that delivers IT operations, field service management, and app engine solutions.
H1B Sponsorship
ServiceNow has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (650)
2022 (816)
2021 (565)
2020 (420)
Funding
Current Stage
Public CompanyTotal Funding
$83.7MKey Investors
Sequoia CapitalJMI Equity
2022-12-09Post Ipo Equity
2012-07-20IPO
2012-03-20Private Equity· $10.98M
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