Note: The job is a remote job and is open to candidates in USA. Prove is a company focused on modernizing how businesses engage with consumers through phone-centric identity solutions. The Data Science Lead will be responsible for designing data architectures, leading R&D for new data sources, and ensuring high-quality data integration 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