Data Scientist - Fulltime

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. Title: Data Scientist
Department: Data Engineering - Engineering
Reports To: Director, Data Science
Location: United States (Remote)
Please note we are hiring multiple Data Scientists at different levels in the organization. Level and compensation will be based on individual qualifications and interview performance.
We are seeking a Senior Data Scientist who combines strong expertise in statistical analysis and applied machine learning with practical experience in production-oriented workflows. This role is not just about building models in isolation—you will partner closely with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved.
Beyond the technical, you’ll help identify opportunities for model-driven enhancements and business and customer recommendations based on real-world performance.
Statistical & ML Modeling
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.
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.
Recommend retraining or refinement strategies in response to performance changes.

Work side-by-side with Senior Machine Learning Engineers to ensure smooth handoff from research to deployment.
Mentor team in best practices for applied ML and production readiness.
Contribute to evolving data science standards and playbooks that prioritize operational impact.

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).
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.

Ability to balance quick iterations with building long-term scalable solutions.

A high-impact environment and data-driven culture where your models make it into production and drive measurable business outcomes.
Opportunities to shape both data science practices and production ML systems.
It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Data Scientist:

$125,000 – $140,000
Senior Data Scientist:

$150,000 – $170,000
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.
Metro 3 - all other cities across the domestic United States, with the exception of the San Francisco Bay Area.
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)
~ Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. 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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