Staff Data Scientist

Ladders; United States; On-site; USD 239,000 - 299,000; Full time

Benefits offered by this job

Base salary + equity

Competitive compensation

Equity opportunity

Job summary

Ladders is seeking a Staff Data Scientist to join a leader in the Finance & Insurance space. The role focuses on building and operationalizing ML solutions to strengthen fraud detection and prevention.

You will partner with Risk Strategy and Engineering to improve model performance, deployment reliability, and data quality across production pipelines, while mentoring teammates and shaping best practices for analytics and ML execution.

Qualifications

• 7+ years of experience analyzing large datasets to solve problems and drive impact.
• 5+ years in machine learning.
• Proficient in SQL for managing imperfect data.
• Expertise in Python with a focus on statistical modeling and ML.
• Experience deploying and monitoring ML models in production.

Responsibilities

• Build, validate, and deploy ML models to detect and prevent real-time fraud.
• Document, test, and monitor models for reproducibility and robustness.
• Ensure data quality and reliability across ML pipelines and tools.
• Collaborate with Risk Strategy on model applications and inputs.
• Work with Engineering to optimize deployment and observability.
• Mentor team members and raise analytics standards.

Skills

SQL

Python

ML modeling

Leadership

Data analysis

Job description

For our client, we are seeking a Staff Data Scientist to join the team of a leader in the Finance & Insurance space.

This role will focus on building and operationalizing machine learning solutions that strengthen fraud detection and prevention capabilities.

You will partner closely with Risk Strategy and Engineering to improve model performance, deployment reliability, and data quality across production pipelines.

The position also offers the opportunity to mentor teammates, shape best practices, and raise the overall standard of analytics and ML execution.

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

Compensation: $239,000 – $298,800 annually

Responsibilities

• Build, validate, and deploy ML models to detect and prevent real-time fraud


• Document, test, and monitor models for reproducibility and robustness


• Ensure data quality and reliability across machine learning pipelines and tools


• Collaborate with the Risk Strategy team on model applications and inputs


• Work with Engineering to optimize model deployment and observability


• Prototype and iterate on best practices while mentoring team members

Qualifications

• 7+ years of experience analyzing large datasets to solve problems and drive impact, including 5+ years in machine learning


• Proficient in SQL for managing imperfect data


• Expertise in Python with a focus on statistical modeling and machine learning


• Experience deploying and monitoring machine learning models in production


• Comfortable in fast-paced environments with evolving priorities


• Strong leadership skills to empower others and elevate team performance


• Ability to align strategic goals across teams with different timelines and architectures

Benefits

• Total rewards package includes base salary and equity


• Highly competitive compensation within the SaaS and fintech industry


• Offers based on experience, expertise, and internal pay equity

Our client is an equal opportunity employer.