Principal Data Scientist

Ladders; United States; Remote; USD 182,000 - 253,000; Full time

Benefits offered by this job

Equity grants

401(k) match

Health coverage

PTO

Parental leave

Wellness allowance

Stock purchase plan

Team events

Employee assistance

Job summary

Ladders is seeking a Principal Data Scientist to shape analytical strategy across product, finance and ML teams, focusing on forecasting, spend optimization and attribution. This remote role is US-based, with no visa sponsorship available.

You will partner with leaders to clarify complex problems and translate them into actionable frameworks. Responsibilities include leading experiments, building metrics, and collaborating with ML to deliver causal analyses and data-driven decisions that impact

Qualifications

• 8+ years of data science or quantitative roles impacting product or business strategy.
• Mastery of experimental design and A/B testing.
• Deep statistical expertise, including causal inference methods.
• Strong coding skills.
• Proven ability to translate data into actionable business decisions for non-technical stakeholders.
• Comfortable in ambiguous environments, shaping direction through inquiry.
• Exceptional communication skills, adept at translating complex technical work into clear narratives.
• Exposure to ML applications and ability to collaborate with ML/data science teams.

Responsibilities

• Shape strategic direction by identifying gaps and questions others miss.
• Act as a thought partner to leaders across product, finance, and ML, clarifying complex problems.
• Design, build, and own analytical tools for forecasting, spend optimization, and marketing attribution.
• Execute experiments, from A/B tests to causal analyses, with full ownership of the process.
• Build metrics frameworks and measurement strategies to guide stakeholder decisions.
• Collaborate with ML teams on complex technical challenges, applying statistical rigor.
• Translate multifaceted business problems into clear decision-making frameworks.
• Take end-to-end ownership of projects, from scoping to driving organizational change.

Skills

Experimental design

A/B testing

Causal inference

Coding skills

Translate data to decisions

Communication skills

ML collaboration

Ambiguity tolerance

Tools

Python

SQL

Jupyter

Job description

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

This role will shape analytical strategy by uncovering the questions and insights that drive better decisions across the business. You will partner closely with leaders in product, finance, and machine learning to clarify complex problems and translate them into actionable frameworks. The position combines experimental rigor, causal analysis, and forecasting to help guide spend optimization, marketing attribution, and organizational change.

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

Compensation: $182,300 – $252,500 annually

Responsibilities

• Shape strategic direction by identifying gaps and questions others miss
• Act as a thought partner to leaders across product, finance, and ML, clarifying complex problems
• Design, build, and own analytical tools for forecasting, spend optimization, and marketing attribution
• Execute experiments, from A/B tests to causal analyses, with full ownership of the process
• Build metrics frameworks and measurement strategies to guide stakeholder decisions
• Collaborate with ML teams on complex technical challenges, applying statistical rigor
• Translate multifaceted business problems into clear decision-making frameworks
• Take end-to-end ownership of projects, from scoping to driving organizational change

Qualifications

• 8+ years of experience in data science or quantitative roles impacting product or business strategy
• Mastery of experimental design and A/B testing
• Deep statistical expertise, including causal inference methods
• Strong coding skills
• Proven ability to translate data into actionable business decisions for non-technical stakeholders
• Comfortable in ambiguous environments, shaping direction through inquiry
• Exceptional communication skills, adept at translating complex technical work into clear narratives
• Exposure to ML applications and ability to collaborate with ML/data science teams

Benefits

• Competitive compensation with base pay, bonuses, and annual equity grants
• 401(k) with a company match of $2 for every $1 contributed, up to $15,000 annually
• Employee stock purchase plan with discounted stock options
• Comprehensive health coverage including medical, dental, and vision
• Health savings account contributions for eligible plans
• Income protection benefits like life insurance and disability coverage
• Paid time off, sick leave, and company holidays
• Paid family and parental leave for caregiving needs
• Employee assistance program for mental health support
• Annual wellness and productivity allowances for personal development and tools
• Community connection through team events and employee resource groups

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.