Prove
DataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist at Prove. Skills: statistical analysis, applied machine learning, production-oriented workflows, model development, model monitoring, Python, SQL, AWS. Develop, validate, and tune statistical and machine learning models that solve complex business problems. Design experiments and evaluate models using robust statistical methodologies”
What You'll Achieve.
generate insights; develop models; ensure models are production-ready, monitored, and continuously improved; drive measurable business outcomes
Industry & Context.
problem-solving and proactive ownership mindset
This role is not eligible for work authorization sponsorship.
What They're Looking For.
Must Have
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, proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow), background in statistical methods (supervised/unsupervised learning, classification models, etc. ), experimental design, data visualization (Looker) and storytelling, proficiency in SQL (Snowflake), Proficiency with cloud platforms (AWS), Solid understanding of APIs, model deployment processes, and monitoring practices
Nice to Have
Familiarity with other programming languages such as R, Java, and Go
What You'll Do.
and tune statistical and machine learning models that solve complex business problems
Design experiments and evaluate models using robust statistical methodologies
Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains
Proactively monitor deployed models for drift
Provide insights and business recommendations based on model performance in production
Recommend retraining or refinement strategies in response to performance changes
Translate model results into actionable recommendations for both product and business teams
Identify opportunities for model improvements that drive up-sell
How You'll Work.
Team & Collaboration
Partner closely with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved; Partner with engineers to ensure models are designed with production deployment in mind; Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure; Work side-by-side with Senior Machine Learning Engineers to ensure smooth handoff from research to deployment; Comfort working in cross-functional teams with engineers, product managers, and business leaders
Communication Scope
Excellent communication skills with ability to bridge technical and business contexts; Communicate results clearly to both technical and non-technical stakeholders
Process & Methodology
Ability to balance quick iterations with building long-term scalable solutions
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 Scientist Department: Data Engineering - Engineering Reports To: Director, Data Science FLSA Status: Exempt 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. This role is not eligible for work authorization sponsorship. Job Summary 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. You’ll focus on gener
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