Senior Data Scientist, Product

Ladders; United States; Remote; USD 180,000 - 212,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with company

Equity and bonus eligibility based on绩

Flexible work environment

Job summary

Ladders is seeking a Senior Data Scientist, Product to join a leader in the Finance & Insurance space. You will shape product decisions using data, improve experimentation, and turn complex data into clear insights with measurable impact.

Location: Remote. Compensation: $180,370 – $212,200 annually. You will partner with product, engineering, and business stakeholders to drive statistical rigor, design experiments, and enable confident decision-making across the organization.

Qualifications

• BA/BS in a quantitative field such as Math, Stats, Physics or CS with 5–7 years of experience or a PhD with 3–5 years.
• Proven track record of executing impactful data science projects in ambiguous environments.
• Strong ability to communicate data insights and influence stakeholders.

Responsibilities

• Conduct in-depth analysis of complex business problems to provide actionable insights.
• Develop, optimize, and evaluate the performance of ML models and AI systems.
• Own and manage a wide range of data and metrics, ensuring clarity and accessibility.
• Lead code reviews and provide expertise in SQL and Python for data projects.
• Ensure high statistical rigor in experimentation and causal analyses to build stakeholder confidence.
• Design and execute experiments that inform product and business decisions.

Skills

Data science

Statistical modeling

Experimentation design

SQL

Python

Stakeholder communication

Ambiguity navigation

Education

BA/BS in quantitative field

PhD (optional)

Tools

SQL

Python

Job description

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

This role will focus on using data science to shape product decisions, improve experimentation, and strengthen decision-making across the organization. You will partner closely with product, engineering, and business stakeholders to turn complex data into clear insights and measurable impact. The position calls for strong statistical rigor, practical modeling expertise, and the ability to operate effectively in an ambiguous, fast-moving environment.

You will also help ensure data, metrics, and analytical outputs are accurate, accessible, and trusted by the broader team.

Location: Remote

Compensation: $180,370 – $212,200 annually

Responsibilities

• Conduct in-depth analysis of complex business problems to provide actionable insights


• Develop, optimize, and evaluate the performance of ML models and AI systems


• Own and manage a wide range of data and metrics, ensuring clarity and accessibility


• Lead code reviews and provide expertise in SQL and Python for data projects


• Ensure high statistical rigor in experimentation and causal analyses to build stakeholder confidence


• Design and execute experiments that inform product and business decisions


• Utilize generative AI responsibly, ensuring human oversight in analytical outputs

Qualifications

• BA/BS in a quantitative field such as Math, Stats, Physics, or Computer Science with 5-7 years of experience, or a PhD with 3-5 years of experience


• Proven track record of executing impactful data science projects in ambiguous environments


• Strong ability to communicate data insights effectively and influence stakeholders


• Hands-on experience with complex modeling frameworks applied to business challenges


• Proficiency in SQL and Python for data manipulation and analysis


• Experience in iterative development cycles for digital products


• Commitment to clear communication, positive energy, continuous learning, and efficient execution

Benefits

• Medical, dental, and vision insurance


• 401(k) retirement plan with company contributions


• Equity and bonus eligibility based on performance


• Flexible work environment that promotes continuous learning

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.