Bachelor's or master's degree in Computer Science, Data Science, or related field.
5-6 years of experience in data science, engineering, or analytics.
Proficiency in Python or R and strong SQL skills.
Experience leading small teams and working in an agile, high-tech environment.
Requirements:
Define and implement the company's data strategy and infrastructure.
Build and mentor a team of data scientists and engineers.
Design and deploy predictive models and analytics tools.
Collaborate with cross-functional teams to integrate data into operations.
Job description
Overview:
We’re looking for a hands-on Data Science & Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You’ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.
This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.
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
