Senior Data Scientist, Trust (Inference)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist, Trust (Inference) based in the United States.

Join a high-impact data science team dedicated to strengthening trust and safety across a global digital platform. In this role, you will tackle complex challenges at the intersection of experimentation, causal inference, and machine learning, helping shape decisions that protect millions of users. Working closely with cross-functional partners, you will design rigorous measurement frameworks, generate strategic insights, and influence product, policy, and operational initiatives. This position offers the opportunity to solve ambiguous, high-visibility problems while advancing scalable data science capabilities in a collaborative, innovation-driven environment. If you thrive on combining statistical rigor with real-world impact, this is an opportunity to make a meaningful difference.

Accountabilities:

• Design and implement robust measurement frameworks to evaluate the effectiveness of trust and safety initiatives and identify opportunities for continuous improvement.
• Lead the design, execution, and analysis of experiments and quasi-experiments in complex environments where traditional A/B testing may not be feasible.
• Develop statistical, Bayesian, and causal inference models to assess risk, estimate treatment effects, and improve decision-making.
• Partner with product, engineering, operations, and policy teams to translate analytical findings into strategic recommendations and product enhancements.
• Produce leadership-ready analyses, visualizations, and presentations that communicate complex technical concepts to both technical and non-technical audiences.
• Evaluate the performance of machine learning systems by providing rigorous measurement methodologies and causal interpretations of model outputs.
• Drive the evolution of data science practices by identifying scalable approaches, improving methodologies, and contributing to long-term scientific strategy.

Requirements

• Master's degree in Statistics, Economics, Computer Science, Mathematics, or another quantitative discipline with at least 5 years of industry experience in data science or quantitative analysis, or a PhD with 2+ years of relevant experience.
• Deep expertise in experimentation design, causal inference methodologies, and statistical analysis.
• Strong experience with Bayesian modeling for uncertainty quantification, measurement, and decision support.
• Advanced programming skills in SQL and Python or R for data analysis and statistical modeling.
• Proven ability to lead complex analytical initiatives and influence cross-functional stakeholders in product or technology environments.
• Strong understanding of machine learning evaluation and translating analytical insights into business strategy.
• Excellent communication and storytelling skills with the ability to explain sophisticated statistical concepts to diverse audiences.
• Demonstrated ability to navigate ambiguity, prioritize high-impact opportunities, and deliver actionable insights in fast-paced environments.

Benefits

• Competitive base salary ranging from $179,000 to $210,000 USD , depending on experience, skills, and location.
• Eligibility for performance bonuses and equity awards.
• Employee travel credits.
• Comprehensive health and employee benefits package.
• Fully remote role within eligible U.S. states, with occasional team offsites or office collaboration.
• Opportunity to work on highly visible initiatives with significant business and customer impact.
• Collaborative, inclusive, and innovation-focused work environment.
• Career growth opportunities alongside world-class data science, engineering, and product teams.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.