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We are looking for experienced and inspiring data science leaders who are excited to take ownership of critical areas in the business—such as product optimization, personalization, or marketing—and lead small, collaborative teams to deliver meaningful impact. As a Lead Data Scientist at Fever, you will combine strong technical skills with an ability to work across diverse teams and projects. You'll use data to solve complex business problems while also supporting the growth and development of your teammates. This is a highly cross-functional and visible role where your work will directly shape key business and product decisions. You’ll have the chance to influence the direction of the Data Science team and contribute to our shared culture of learning, innovation, and inclusion.
Job Responsibility:
take full ownership of strategic data science projects, from exploration to deployment
guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
play an active role in hiring, onboarding, and nurturing an inclusive team culture
partner with senior leaders to inform strategic planning for the Data function at Fever
Requirements:
strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus)
confident in exploring data, designing models, and evaluating their performance with rigor
skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.)
experience leading data science projects
enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
curious, resourceful, and proactive when faced with complex challenges
Nice to have:
experience with recommendation systems, Bayesian modeling, or causal inference
background in growth, marketing analytics, or digital product optimization
familiarity with ML frameworks like PyTorch, JAX, or TensorFlow
exposure to experimentation platforms or production ML pipelines
What we offer:
bonus linked to performance
stock options
40% discount on all Fever events and experiences
flexible hybrid model
health insurance and flexible compensation options via Cobee
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