Qualifications

• Master's or PhD in a relevant STEM field preferred; exceptional Bachelor's profiles considered.
• 7-15 years in applied machine learning/data science, with a focus on fintech or cybersecurity.
• 4+ years of managing data science/ML teams in high-growth startups.
• Proven track record in scaling multiple ML models, not just a single solution.
• Strong programming skills in Python alongside software engineering proficiency.

Responsibilities

• Lead and manage a team of data scientists and machine learning engineers.
• Develop and scale end-to-end machine learning solutions, from feature engineering to production.
• Articulate complex data insights and solutions to senior management and stakeholders effectively.
• Drive product strategy and decision-making related to ML and data science initiatives.
• Foster a high-performance team culture focused on technical excellence and problem-solving.

Benefits

• Autonomy in designing and implementing data science solutions.
• Opportunity to influence growth in a fast-paced startup environment.
• Be part of a high-caliber team with visibility across the organization.