Note: The job is a remote job and is open to candidates in USA. Prove is a company focused on modernizing consumer engagement through phone-centric identity solutions. The Data Science Lead will be responsible for architecting data ecosystems, leading research and development for new data sources, and ensuring the integration of high-quality data into production solutions.

Responsibilities

• Design and oversee the evolution of scalable data architectures that support advanced analytics, machine learning (ML) modeling, and real-time processing
• Scout, evaluate, and pressure-test new internal, external, and alternative data sources (e.g., synthetic data, IoT streams, third-party APIs) for predictive power and commercial viability. Lead the ideation and feature engineering for these data sources and document how it aligns to current and future data architecture designs
• Lead rapid prototyping and PoCs to validate new technologies, algorithms, and data structures before scaling them to production
• Technical vetting of data vendors and partners to ensure data quality, density, and seamless integration capabilities
• Define and document the organization's gold-standard methodologies for statistical analysis, experimental design (A/B testing), and ML modeling
• Establish rigorous validation protocols and evaluation metrics (e.g., precision/recall, drift detection, bias/fairness audits) to ensure model and data integrity
• Keep the organization at the cutting edge of data science by translating academic research and emerging industry trends into practical business methodologies
• Serve as the critical bridge between R&D and Production, ensuring that complex analytical models and data sources are seamlessly ingested into core business products and solutions
• Oversee data delivery contracts between the DS ecosystem and downstream software applications to ensure the creation of clean, well-documented APIs

Skills

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

Benefits

• Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan
• Modern Health for financial, mental, and physical wellness
• 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices)
• Unlimited Vacation and Flexible hours
• Comprehensive medical benefits for you and your family ❤️
• Emotional & Physical Wellness – 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)
• A great place to work and connect with other talented Provers like yourself!

Company Overview