Staff Data Scientist, Trust and Safety

Ladders; United States; Remote; USD 165,000 - 339,000; Full time

Benefits offered by this job

Flexible work environment

Equitable workplace

Professional development resources

Equity participation

Transparent culture & benefits

Job summary

Ladders is seeking a Staff Data Scientist for Trust and Safety to elevate data-driven decision making across products. This role emphasizes rigorous experimentation, scalable modeling, and strong collaboration with cross-functional teams to improve safety and reliability in consumer technology.

The candidate will design evaluation frameworks, prototype analysis pipelines, and translate insights into product improvements while influencing stakeholders with a scientific mindset.

Qualifications

• 10+ years of experience in data analysis in a fast-paced, data-driven environment.
• Extensive background in Machine Learning, Statistical Modeling, Forecasting, or Econometrics.
• Strong scientific approach to data analysis with attention to detail.
• Proficient in SQL and a scripting language (Python or R) for data manipulation.
• Excellent communication skills for conveying insights to technical and non-technical audiences.
• Team-oriented with ability to collaborate with cross-functional leadership.
• Bachelor's degree in Computer Science or related field, or equivalent experience.

Responsibilities

• Develop a comprehensive understanding of the trust and safety platform.
• Lead projects focused on trust and safety opportunities across various funnel stages.
• Design and implement scalable machine learning and evaluation frameworks.
• Establish best practices for experimentation and instrumentation.
• Apply scientific rigor to product development challenges.
• Build and prototype analysis pipelines for scalable insights.
• Collaborate with cross-functional teams to communicate key insights.

Skills

Machine Learning

Statistical Modeling

Forecasting

Econometrics

SQL

Python

R

Communication skills

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Job description

For our client, we are seeking a Staff Data Scientist, Trust and Safety to join the team of a leader in the Consumer Technology space.

This role will focus on strengthening trust and safety through rigorous data science, experimentation, and scalable modeling approaches. You will partner closely with cross-functional teams to uncover opportunities, build robust evaluation frameworks, and translate insights into product and operational improvements. The position calls for a strong scientific mindset and the ability to influence decision-making across technical and non-technical stakeholders. This is an opportunity to shape data-driven work that supports a safer and more reliable consumer technology experience.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $164,695 – $339,078 annually

Responsibilities

• Develop a comprehensive understanding of the trust and safety platform
• Lead projects focused on trust and safety opportunities across various funnel stages
• Design and implement scalable machine learning and evaluation frameworks
• Establish best practices for experimentation and instrumentation
• Apply scientific rigor to product development challenges
• Build and prototype analysis pipelines for scalable insights
• Collaborate with cross-functional teams to communicate key insights

Qualifications

• 10+ years of experience in data analysis within a fast-paced, data-driven environment
• Extensive background in Machine Learning, Statistical Modeling, Forecasting, or Econometrics
• Strong scientific approach to data analysis with attention to detail
• Proficient in SQL and a scripting language, such as Python or R, for data manipulation
• Excellent communication skills for conveying insights to technical and non-technical audiences
• Team-oriented with the ability to collaborate with cross-functional leadership
• Bachelor's degree in Computer Science or a related field, or equivalent experience

Benefits

• Flexible work environment with minimal in-office requirements
• Commitment to an equitable and inclusive workplace
• Access to a variety of resources for professional development
• Opportunities for equity participation
• Transparency in workplace culture and benefits

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.