Staff Data Scientist, Marketing Inference

About Our Client

The organization operates in the mental health care industry, addressing the challenge of limited accessibility to therapy services. Founded in 2013, it has grown to become the world's largest online therapy service, connecting millions of people with affordable and convenient therapy through a network of over 30,000 licensed therapists. The company is committed to expanding access to mental health care as the demand for these services continues to rise.

About the Opportunity

The Staff Data Scientist, Marketing Inference role focuses on scaling and optimizing marketing efforts through advanced data analysis. This position involves developing and maintaining marketing models to improve efficiency and support decision-making. The role contributes to the organization by providing data-driven insights that enhance marketing strategies and increase the impact of mental health services.

Responsibilities

• Analyze large and complex data sets to generate actionable insights.
• Partner with the marketing team to identify and test data-driven ideas for improving marketing efficiency.
• Develop, implement, and maintain marketing models, including Bayesian Marketing Mix Models and Multi-Touch Attribution models.
• Monitor and analyze marketing uplift tests using rigorous statistical methods.
• Present data and insights to stakeholders to guide marketing decisions.
• Design testable models and algorithms addressing complex problems with measurable business impact.

Requirements

• Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, Operations Research, Engineering, or a related quantitative field.
• 5 to 8 years of experience in quantitative data analysis involving user behavior and large data sets.
• Strong expertise in statistics, hypothesis testing, and experimental design.
• Experience analyzing A/B tests and advanced statistical methods such as difference-in-difference and regression discontinuity.
• Skilled in building predictive and causal inference models.
• Proficiency with R, Python, and advanced SQL.
• Proven ability to support or influence business decisions through data analysis.
• Excellent communication skills to explain complex technical concepts to non-technical audiences.
• Bonus qualifications: Experience with Bayesian modeling methods, familiarity with Marketing Mix Models and Multi-Touch Attribution, experience with two-sided marketplaces and B2C or marketplace products, knowledge of BI tools such as Tableau and Looker.

Pay Range and Compensation Package

The base salary range for this position is $170,000 to $220,000. Eligible for a performance bonus. Total compensation based on position type, location, education, experience, and certifications.

Benefits & Perks

• Remote work with regular company-sponsored in-person bonding events.
• Competitive compensation.
• Holistic perks including free therapy and employee wellness programs.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with employer matching.
• Company-provided hardware and software to support productivity.
• Supportive community of colleagues.

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.