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 100 with offices in California, New York and Tel Aviv. Responsibilities Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning. Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation). Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization. Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty. Represent Voyantis in front of customers, translating complex modeling decisions into clear business value. Mentor junior and mid-level team members, raising the technical bar across the team. Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals. 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.