Senior Data Scientist, Trust & Safety — Remote

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

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.