Senior Data Scientist, Prove
$150-165k
+ Variable Commission/Company Bonus + Equity Plan
Identity verification platform
Be an early applicant
Identity verification platform
201-500 employees
Be an early applicant
$150-165k
+ Variable Commission/Company Bonus + Equity Plan
201-500 employees
Company mission
To enable a digital world where every consumer and company can transact with trust.
Role
Who you are
- 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
- Comfort working in cross-functional teams with engineers, product managers, and business leaders
- Ability to balance quick iterations with building long-term scalable solutions
- 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
What the job involves
- Department: Data Engineering - Engineering
- Reports To: Senior Manager, Data Intelligence
- 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 generating insights, developing models, and proactively collaborating in monitoring deployed algorithms
- Beyond the technical, you’ll help identify opportunities for model-driven enhancements and business and customer recommendations based on real-world performance
- 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
- 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
- Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure
- Proactively monitor deployed models for drift, accuracy, and reliability
- 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, revenue growth, and cost reduction
- Communicate results clearly to both technical and non-technical stakeholders
- 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
Our take
Prove's identity-proving solutions allow businesses to enable their customers to prove their identities with just a phone. It is used by more than 1,000 global enterprises and 500 financial institutions, across multiple industries.
With more and more activity taking place online and via mobile devices, Prove offers companies speed and security while processing transactions. The identity verification space is buoyant, with many other companies providing services. But despite this competition, Prove has grown to be a leading and award-winning platform.
Prove's phone-centric tokenization and passive cryptographic solutions have had tremendous corporate momentum. The company has been named to Deloitte’s prestigious Technology Fast 500 list several times, and is well set to further its hold on the market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2023
$40m
LATE VC
Jun 2020
$100m
LATE VC
Total funding: $252.1m
Company benefits
- 401k Match
- Parental Leave Policy
- Stock Options
- Health benefits
- Wellbeing reimbursement
- Work From Home Opportunities
- Bonus Scheme
- Generous Vacation Time
Company HQ
NoMad, New York, NY
Leadership
Rodger Desai
(CEO)Studied at Harvard Business School after working as an Engineer for Exxon Mobil, General Electric, and Accenture, as well as co-founding several venture-backed startups.
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