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.
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!
Senior Data Scientist Reports to: Senior Manager, Data Science. FLSA Status: Exempt.
Job Summary We are seeking a Senior Data Scientist to play a critical role in building the future of digital identity. This pivotal role requires a strong blend of expertise in statistical analysis and applied machine learning, coupled with practical experience in production‑oriented workflows. You will build models, generate insights, and proactively collaborate with Machine Learning Engineers, Engineers and Product to ensure models are production‑ready, effectively monitored, continuously improved and meet the needs of the business.
Key Responsibilities
Develop, validate and tune statistical and machine learning models that solve complex business problems.
Partner with engineers to ensure models are designed with production deployment in mind.
Using robust statistical methodologies, design experiments and proactively evaluate models for drift, accuracy and reliability.
Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains.
Collaborate with ML engineers on deployment pipelines, APIs and infrastructure.
Provide insights and business recommendations based on model performance in production and communicate results clearly to both technical and non‑technical stakeholders.
Identify opportunities for model improvements that drive up‑sell, revenue growth and cost reduction.
Mentor team in best practices for applied ML and production readiness.
Qualifications & Experience
5+ years of experience applying machine learning and statistics to business problems.
Master’s or PhD in Statistics, Computer Science, Data Science or related field (or equivalent experience).
Prior exposure to production ML environments and workflows.
Strong proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow).
Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling.
Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines.
Proficiency with cloud platforms (AWS).
Solid understanding of APIs, model deployment processes and monitoring practices.
Familiarity with other programming languages such as R, Java and Go.
Excellent communication skills with ability to bridge technical and business contexts.
Strong problem‑solving and proactive ownership mindset.
Experience working in cross‑functional teams with engineers, product managers and business leaders.
Ability to balance quick iterations with building long‑term scalable solutions.
Comfortable working in ambiguity: turning nebulous problems into concrete solutions and analyses.
Salary Range The anticipated salary range for this role is $145,000 – $160,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo‑location and abilities, as well as internal equity and alignment with market data.
Benefits & Perks for FTE Provers
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!
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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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!
Senior Data Scientist Reports to: Senior Manager, Data Science. FLSA Status: Exempt.
Job Summary We are seeking a Senior Data Scientist to play a critical role in building the future of digital identity. This pivotal role requires a strong blend of expertise in statistical analysis and applied machine learning, coupled with practical experience in production‑oriented workflows. You will build models, generate insights, and proactively collaborate with Machine Learning Engineers, Engineers and Product to ensure models are production‑ready, effectively monitored, continuously improved and meet the needs of the business.
Key Responsibilities
Develop, validate and tune statistical and machine learning models that solve complex business problems.
Partner with engineers to ensure models are designed with production deployment in mind.
Using robust statistical methodologies, design experiments and proactively evaluate models for drift, accuracy and reliability.
Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains.
Collaborate with ML engineers on deployment pipelines, APIs and infrastructure.
Provide insights and business recommendations based on model performance in production and communicate results clearly to both technical and non‑technical stakeholders.
Identify opportunities for model improvements that drive up‑sell, revenue growth and cost reduction.
Mentor team in best practices for applied ML and production readiness.
Qualifications & Experience
5+ years of experience applying machine learning and statistics to business problems.
Master’s or PhD in Statistics, Computer Science, Data Science or related field (or equivalent experience).
Prior exposure to production ML environments and workflows.
Strong proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow).
Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling.
Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines.
Proficiency with cloud platforms (AWS).
Solid understanding of APIs, model deployment processes and monitoring practices.
Familiarity with other programming languages such as R, Java and Go.
Excellent communication skills with ability to bridge technical and business contexts.
Strong problem‑solving and proactive ownership mindset.
Experience working in cross‑functional teams with engineers, product managers and business leaders.
Ability to balance quick iterations with building long‑term scalable solutions.
Comfortable working in ambiguity: turning nebulous problems into concrete solutions and analyses.
Salary Range The anticipated salary range for this role is $145,000 – $160,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo‑location and abilities, as well as internal equity and alignment with market data.
Benefits & Perks for FTE Provers
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!
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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