Senior Data Scientist at Prove

Denver, Colorado, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Identity, Banking, Healthcare, E-commerce, PaymentsIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

Statistical AnalysisMachine LearningModel DevelopmentModel ValidationModel TuningProduction Workflows

Questions & Answers

Common questions about this position

What is the location for this Senior Data Scientist role?

The position is located in Denver, CO.

What qualifications and experience are required for this role?

Candidates need 5+ years of experience applying machine learning and statistics to business problems, plus a Master’s or PhD in Statistics, Computer Science, or a related field.

What is the company culture like at Prove?

Prove seeks self-starting professionals who thrive in a fast-paced environment, process information quickly, make intelligent decisions, and value teamwork both in work and play.

What salary or compensation does this position offer?

This information is not specified in the job description.

What makes a strong candidate for this Senior Data Scientist role?

Strong candidates have a blend of expertise in statistical analysis and applied machine learning, experience with production-oriented workflows, and the ability to collaborate with engineers and product teams while mentoring others.

Prove

Identity verification and authentication solutions

About Prove

Prove specializes in identity verification and authentication services, primarily serving clients in the financial sector. Its solutions are designed to secure transactions across various platforms, including mobile, desktop, call centers, and chat services. Prove's products work by utilizing a privacy-first approach that incorporates decentralized data architecture and identity tokenization, ensuring that user consent is prioritized and data aggregation is minimized. This focus on security and privacy sets Prove apart from its competitors, as it has built a reputation as a trusted partner for major financial institutions. The company's goal is to provide scalable and effective authentication solutions that enhance security for over 1,000 enterprise customers and 500 banks globally, while also maintaining a commitment to user privacy.

New York City, New YorkHeadquarters

2008Year Founded

$245.2MTotal Funding

LATE_VCCompany Stage

Fintech, Cybersecurity, Financial ServicesIndustries

1-10Employees

Benefits

Dental, Vision, Health, & Life Insurance

Well-Being Reimbursement

401K / Retirement Plan

PTO / Vacation Policy

Paid Holidays

Maternity / Paternity Leave

Risks

Generative AI intensifies threats like scraping and fraud, challenging Prove's API solutions.

Deepfake technology threatens trust in Prove's phone-based authentication methods.

EU's eIDAS 2.0 regulation may increase Prove's operational costs to meet compliance.

Differentiation

Prove specializes in phone-centric identity verification, enhancing security and consumer privacy.

Prove's decentralized data architecture limits data aggregation, emphasizing a privacy-first approach.

Prove serves 9 of the top 10 US financial institutions, showcasing its industry leadership.

Upsides

Prove's self-service platform simplifies identity verification, improving customer experience and reducing fraud.

The rise of digital wallets increases demand for Prove's secure digital identity solutions.

Prove's expertise in phone-based authentication addresses the growing threat of business identity theft.

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