Data Science & Engineering Lead

Role: Data Science & Engineering Lead

Overview:

Responsibilities:

• Define and deliver our data strategy - from core infrastructure to insights delivery
• Build and mentor a team of 2–5 data scientists and engineers
• Design and deploy predictive models, recommendation systems, and performance analytics
• Architect, deploy, and maintain scalable data pipelines and analytics tooling
• Own and scale robust data pipelines and ensure data integrity across business verticals
• Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions
• Act as the go-to person for data strategy, experimentation, and insights

Requirements:

• 5–6 years of relevant experience in data science, engineering or analytics,
• At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment
• Strong command of Python or R; strong SQL skills required
• Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure
• Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
• Experience working cross functionally with business and product teams
• Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end