Senior Data Scientist Offline

We are looking for a senior data scientist to lead the development and implementation of next-generation AI solutions for life-cycle marketing.

As a senior member of our team, you will shape methodology, manage product direction in uncertainty and represent the Company in conversations with high-stakes customers. You'll combine deep experience in causal inference, reinforcement learning, and experiments with strong communication skills to impact the entire company and our customers.

About Us

The company was founded in 2020 on the premise that market fundamentals move companies around the world from all-cost growth strategies to efficient and responsible growth practices, focusing on improving divisional economies. With a bold mission to use AI to rethink the whole process of growth, optimize this transition and ensure its sustainability, removes guesses about creating value for customers by providing leaders with actionable strategies and tactics to acquire, nurture and retain high-value customers, their businesses are really needed, with actions and time that would be most effective in achieving their goals.

Leading companies such as Miro, Rappi and Moneylion rely on us to effectively apply these predictions. They use our product to attract high-value customers on platforms such as Google and Meta, optimize incentives with Salesforce and Braze, and perfectly increase time, leading to a 20%-40% increase in ROI.

The company is well supported by leading venture capitalists such as Target Global and SquarePeg. The company has tripled annually over the past two years and now boasts a team of 70 people 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.