Data Scientist 6 - Experimentation Platform
LaddersAbout the role
For our client, we are seeking a Data Scientist 6 - Experimentation Platform to join the team of a leader in the Hospitality & Recreation space.
This role will define the strategic direction for the company's experimentation capabilities, with a strong focus on user experience, data flow, and trustworthy causal measurement. The position will partner closely with data science and engineering teams to shape scalable standards, improve experimentation practices across the organization, and ensure teams have the tools needed to make better product decisions. This is a highly influential role that combines technical rigor, platform thinking, and cross-functional leadership to raise the quality and consistency of experimentation at enterprise scale.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $491,000 – $775,000 annually
Responsibilities
Set the strategic direction for the experimentation platform, focusing on user experience and data flow
Ensure the platform uses credible causal inference methods and automate verification processes
Collaborate with data science and engineering teams to align product implementation with user needs
Shape standards for large-scale experimentation practices across teams
Consolidate varied experimentation systems into a streamlined platform with accessible tools and best practices
Mentor team members and represent the platform's perspective in broader company discussions
Qualifications
Advanced degree, such as a PhD or master's, in a quantitative field like Computer Science or Statistics
8+ years of experience in statistics and causal inference specific to experimentation
Proven track record of establishing organization-wide standards or tools rather than project-based applications
Strong understanding of experimentation challenges and mitigation strategies at a program level
Experience translating data science problems into actionable product roadmaps
5+ years of proficiency in data science languages, particularly Python and SQL
Exceptional communication skills to influence both technical and non-technical stakeholders
A proactive attitude toward learning new methods and optimization techniques
Benefits
Comprehensive health plans and mental health support
401(k) retirement plan with employer match
Stock option program and disability programs
Health savings and flexible spending accounts
Family-forming benefits and paid leave programs
35 days of paid time off for full-time hourly employees; immediate flexible time off for salaried employees
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.
Responsibilities
- Set the strategic direction for the experimentation platform, focusing on user experience and data flow
- Ensure the platform uses credible causal inference methods and automate verification processes
- Collaborate with data science and engineering teams to align product implementation with user needs
- Shape standards for large-scale experimentation practices across teams
- Consolidate varied experimentation systems into a streamlined platform with accessible tools and best practices
- Mentor team members and represent the platform's perspective in broader company discussions
Qualifications
- Advanced degree, such as a PhD or master's, in a quantitative field like Computer Science or Statistics
- 8+ years of experience in statistics and causal inference specific to experimentation
- Proven track record of establishing organization-wide standards or tools rather than project-based applications
- Strong understanding of experimentation challenges and mitigation strategies at a program level
- Experience translating data science problems into actionable product roadmaps
- 5+ years of proficiency in data science languages, particularly Python and SQL
- Exceptional communication skills to influence both technical and non-technical stakeholders
- A proactive attitude toward learning new methods and optimization techniques
Benefits
- Comprehensive health plans and mental health support
- 401(k) retirement plan with employer match
- Stock option program and disability programs
- Health savings and flexible spending accounts
- Family-forming benefits and paid leave programs
- 35 days of paid time off for full-time hourly employees; immediate flexible time off for salaried employees
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.