Senior Data Science Manager, Safety & Mods (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Science Manager, Safety & Mods in the United States.
As a Senior Data Science Manager, you will lead a team of talented data scientists dedicated to ensuring a safe and well-moderated user experience. You will oversee analytical initiatives that influence strategy, product decisions, and operational improvements, collaborating closely with cross-functional partners across product, engineering, design, and operations. This role combines leadership, hands-on data science expertise, and strategic thinking to drive impactful insights and measurable outcomes. You will mentor your team, foster a high-performance culture, and guide the development of models, metrics, and analytical frameworks. The position offers the opportunity to influence large-scale safety and moderation systems while shaping the professional growth of your team in a fast-paced, data-driven environment.
Accountabilities:
• Lead and manage a team of data scientists focused on safety and moderation initiatives.
• Mentor, coach, and grow high-performing individuals and teams, establishing clear goals and professional development plans.
• Drive analytics strategy and provide actionable insights to influence product and operational decisions.
• Oversee the development and evaluation of ML and LLM models to improve moderation and safety systems.
• Collaborate with cross-functional teams including product, engineering, operations, and design to shape roadmap and strategic priorities.
• Ensure data quality, including ETL processes, reporting, and metrics definition for experimentation and measurement.
• Promote best practices in experimentation, causal inference, A/B testing, and metric governance.
• Communicate complex technical findings effectively to both technical and non-technical stakeholders.
• 5+ years of experience managing high-performing data science teams (ideally 5+ direct reports).
• Proven track record in analytics for trust, safety, or moderation in consumer technology products.
• Strong expertise in ML/LLM development, evaluation, and operationalization.
• Deep knowledge of experimentation design, causal inference, and product analytics.
• Hands-on experience with SQL, Python, or R for data analysis.
• Excellent communication and collaboration skills, capable of influencing cross-functional stakeholders.
• Ability to translate complex analytical concepts into actionable recommendations.
• Demonstrated ability to hire, retain, and grow top-tier data science talent.
• Strategic thinker with evidence-based decision-making skills and a collaborative approach.
• Comprehensive healthcare and income replacement programs.
• 401(k) with employer match.
• Family planning support and gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and global company holidays.
• Generous paid parental leave.
• Paid volunteer time off.
• Opportunities for professional growth and development, including online learning resources.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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