Software Engineer, Analytics

About the Role: The company is seeking a Lead Data Scientist to join its Analytics and Data Insights team. This position combines hands-on data science, analytical strategy, and team leadership. You will oversee the full analytical lifecycle, from identifying business questions and designing experiments to developing predictive models and delivering production-ready insights. Working closely with product, research, sales, and finance teams, you will help guide go-to-market decisions, support business growth, and influence product strategy. You will also lead and mentor analysts and data scientists, establish technical standards, and set priorities across multiple analytical initiatives.

Key Responsibilities: Design and lead experimentation programs, including A/B testing, multi-armed bandits, and causal inference, to support product and go-to-market decisions. Build and deploy predictive models for forecasting, customer segmentation, propensity scoring, and opportunity sizing across core business lines. Lead, develop, and mentor a team of analysts and data scientists. Establish technical standards and promote strong analytical practices across the team. Define analytical priorities and allocate resources across projects and initiatives. Drive analytical projects from initial business questions through development and production. Partner with product, research, sales, and finance teams to inform company growth and product strategy. Translate complex analytical findings into clear, actionable business recommendations. Manage multiple workstreams and analytical priorities in an environment with evolving requirements.

Required Qualifications: Strong command of SQL, Python, and Git. Deep expertise in statistical inference and experimental design. Strong experience in predictive modeling. Proven ability to translate ambiguous business questions into well-defined analytical problems. Ability to develop rigorous analysis and communicate clear recommendations. Experience leading analytics or data science teams and delivering meaningful results. Strong leadership, mentoring, and team development skills. Excellent communication skills, with the ability to explain analytical insights clearly and persuasively. Comfort working with ambiguity and managing multiple workstreams. Empathetic leadership approach and ability to collaborate across teams. Genuine interest in artificial intelligence and ongoing engagement with AI research.

Preferred Qualifications: Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow.

Salary & Benefits: The company offers the following benefits: Open and inclusive workplace culture. Weekly lunch stipend and in-office meals. Comprehensive health and dental benefits. Mental health budget. Six weeks of vacation (30 working days).Remote-friendly working arrangement. Access to multiple office locations. Co-working stipend. Parental leave top-up of up to six months.