Senior Data Scientist
Description
We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.
As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent Voyantis in high-stakes conversations with customers. You’ll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.
About Us
Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.
Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.
Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California, New York and Tel Aviv.
Requirements
- M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
- 6+ years of hands-on data science experience, including direct work with lifecycle marketing, personalization, or customer analytics.
- Advanced expertise in statistics, causal inference, and experimental design.
- Proven track record of implementing reinforcement learning / multi-armed bandit models in production.
- Strong software engineering skills in Python, SQL, and ML frameworks
- Exceptional communication skills — able to influence internal teams and present to executive-level customers.
- Entrepreneurial mindset: thrives in uncertainty, challenges assumptions, and pushes for impactful solutions.