Data Science Lead

prove.com; United States; On-site; USD 179,000 - 200,000; Full time

Benefits offered by this job

Unlimited vacation

401(k) retirement plan

Health coverage

Wellness services

Job summary

Prove.com in the United States is seeking a Data Science Lead to architect and manage the data ecosystem. This pivotal role focuses on designing data architectures, leading R&D for innovative data sources, and establishing robust analytical methodologies to ensure the integrity and scalability of data operations. The ideal candidate will have over 6 years in data science, with a minimum of 2 years in a leadership role.

The position also involves ensuring seamless integration of analytical models into business products and requires proficiency in Python, SQL, and familiarity with cloud platforms. Benefits include competitive salaries, bonuses, and a flexible work environment.

Qualifications

• 6+ years in Data Science/Data Engineering, including 2 in a leadership role.
• Deep understanding of data modeling and statistical evaluation.
• Ability to communicate complex architectures to non-technical stakeholders.

Responsibilities

• Design scalable data architectures for analytics and ML.
• Evaluate new data sources for predictive power.
• Maintain documentation and standards for analytics methodologies.

Skills

Data Science

Data Engineering

Python

SQL

Machine Learning

Big Data

Cloud Platforms

MLOps

Tools

Spark

Kafka

Airflow

Job description

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 individuals 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.

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

Data Architecture & Scalable Engineering

• Design and oversee the evolution of scalable data architectures that support advanced analytics, machine learning (ML) modeling, and real‑time processing.

R&D & Novel Data Source Evaluation

• 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.
• Conduct technical vetting of data vendors and partners to ensure data quality, density, and seamless integration capabilities.

Methodology & Analytical Rigor

• 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 (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.

Ingestion & Solution Integration

• 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.
• Maintain a formalized playbook for scoring, vetting, and onboarding new data assets.
• Keep a centralized repository of approved statistical models, evaluation metrics, and ingestion protocols to ensure team‑wide consistency.
• Maintain a central registry that links current data sources to their product value, impact of removal or substitution, and roadmap for new signal utilization.
• Develop an architectural roadmap spanning 12 months to 3 years, aligning data science infrastructure with corporate scaling goals.

Profile & Qualifications

• 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.

Salary & Benefits

• Anticipated salary range: $179,000 – $200,000 plus variable commission / company bonus.
• Benefits include competitive salaries & bonus plan, equity plan, modern health coverage, 401(k) retirement plan with match (US Offices), local country pension (International Offices), unlimited vacation and flexible hours, emotional & physical wellness services, and more.

Equal Opportunity Employment

Prove is an equal‑opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics.

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