Prove
DataScienceLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Science Lead at Prove. Skills: Data Architecture, Machine Learning, Data Science, Cloud Platforms. Design scalable data architectures. Lead R&D for novel data sources”
What You'll Achieve.
Data Source Playbook; Methodology Registry; Feature Importance Registry; Feature Engineering Roadmap; Architectural Roadmap
Industry & Context.
Process information quickly; Make intelligent decisions
Not eligible for work authorization sponsorship
What They're Looking For.
Must Have
6+ years in Data Science/Data Engineering, 2 years in a technical leadership or architectural role, Python, R, SQL
Nice to Have
Cloud Platforms (AWS/GCP/Azure), Big Data tech (Spark, Kafka), Orchestration (Airflow), MLOps tools, data modeling, schema design (SQL/NoSQL), statistical evaluation, MLOps deployment patterns, academic research, emerging industry trends
What You'll Do.
Design scalable data architectures
Lead R&D for novel data sources
Establish analytical methodologies
Ensure data ingestion
Scout and evaluate data sources
Lead prototyping and PoCs
Vet data vendors and partners
Define methodologies for analysis
Establish validation protocols
Translate research into methodologies
Bridge R&D and Production
Oversee data delivery contracts
How You'll Work.
Team & Collaboration
Work with product team; Work with other Provers
Communication Scope
Translate complex technical architectures into strategic business value
Full Job Description
About Prove As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn. Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team! Title: Data Science Lead Department: Business Operations Reports To: Director, Data Science FLSA Status: Exempt Location: US Remote This role is not eligible for work authorization sponsorship. Summary: 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. Core Pillars of Responsibility 1. Data Architecture & Scalable Engineering Blueprint Design: Design and oversee the evolution of scalable data architectures that support advanced analytics, machine learning (
Applying for this Data Science Lead role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Prove?
Real rants from real employees. Read before you apply.