Data Science Lead

The Data Science Lead will serve as the strategic architect and research pioneer for the organization’s data ecosystem. This role is responsible for designing robust data architectures, leading research and development (R&D) for novel data sources, establishing rigorous analytical methodologies, and ensuring the seamless, scalable ingestion of high-quality data into downstream production solutions.

Responsibilities

Design and oversee evolution of scalable data architectures; Scout, evaluate, and pressure-test new data sources; Lead rapid prototyping and PoCs; Technical vetting of data vendors and partners; Define gold-standard methodologies for statistical analysis, experimental design, and ML modeling; Establish rigorous validation protocols and evaluation metrics; Translate academic research into practical business methodologies; Serve as bridge between R&D and Production; Oversee data delivery contracts between DS ecosystem and downstream applications.

Requirements

6+ years in Data Science/Data Engineering, with at least 2 years in a technical leadership or architectural role; Python; R; SQL; Cloud Platforms (AWS/GCP/Azure); Big Data tech (Spark, Kafka); Orchestration (Airflow); MLOps tools; Deep understanding of data modeling, schema design (SQL/NoSQL), statistical evaluation, and MLOps deployment patterns; Exceptional ability to translate complex technical architectures into strategic business value for non-technical stakeholders.

Benefits

Variable commission / company bonus; Bonus Plan; Equity Plan; Modern Health for financial, mental, and physical wellness; 401(k) Retirement Plan & Match; Local Country Pension (International Offices); Unlimited Vacation and Flexible hours; Comprehensive medical benefits; Access to wellness services (EAP & Prove Well-Being Reimbursement); Bottomless snacks & beverages for certain office locations; Daily GrubHub stipend for lunch if coming into the office (US Offices)