For our client, we are seeking a Data Scientist Marketing Inference to join the team of a leader in the Healthcare space. This role will drive marketing initiatives focused on growth, customer acquisition, brand performance, and measurable demand creation. You will collaborate with analytics, product, creative, and commercial teams to turn market insights into scalable campaigns, testing strategies, and performance improvements. The position offers the opportunity to directly influence customer engagement, conversion performance, and revenue growth within a healthcare environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $130,000 – $160,000 annually
Responsibilities
- Extract actionable insights from large datasets to support marketing initiatives
- Develop and maintain sophisticated marketing models like Bayesian Marketing Mix and Multi-Touch Attribution
- Monitor and analyze marketing uplift tests, presenting findings to guide decisions
- Design testable models and algorithms for real business impact
- Collaborate actively with the marketing team to explore data-driven strategies
- Cultivate a positive team environment that values fun and impactful work
- Engage with various aspects of the business beyond traditional data roles
Qualifications
- BSc/MA in a quantitative discipline (Statistics, Math, Economics, Computer Science, Operations Research, Engineering)
- 3+ years in quantitative data analysis role focusing on user behavior
- Expertise in statistical analysis, hypothesis testing, and experiment design
- Experience with A/B testing and advanced statistical methods
- Ability to build predictive and causal inference models
- Advanced skills in SQL and data analysis tools such as R and Python
- Strong communication skills for conveying complex data to non-technical audiences
Benefits
- Remote work with regular bonding experiences
- Holistic perks program including free therapy and wellness support
- Health, dental, and vision coverage
- 401k with employer matching
- Opportunity to contribute to meaningful work that changes lives
- Access to any hardware or software to boost productivity
- Supportive and collaborative company culture
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.