Data Analyst, Prove
Identity verification platform
Job no longer available
Identity verification platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To enable a digital world where every consumer and company can transact with trust.
Role
Who you are
- Demonstrate our core cultural values: clear communication, team player, continuous learning, and efficient execution
- Experience in R or Python
- Enjoy solving mysteries, have a desire to explore unknowns and act with little information
- Be able to independently create plans for analytics projects
- Confidently ask questions and share opinions without concern of being wrong or in the minority
- Be comfortable sharing your analysis to both technical and non-technical stakeholders
- A desire to continuously grow and learn
- A desire to work in a high speed information environment that encourages you to be collaborative, communicative, and think fast and slow
- Highly team centric with a desire to express and receive feedback to/from the team
- Understanding of high level statistical concepts and experience in applying them
- Bachelor's Degree or education equivalent with 2+ years relevant experience or Masters in related field
- Experience in a scripting language (C-shell or Bash)
- Working knowledge of basic data science concepts
- Setting up a supervised modeling problem
- Evaluating model performance through common metrics such as AUC, GINI, KS, etc
- Advantages and disadvantages of various supervised modeling techniques such as Linear/Logistic Regression, Decision Trees, Ensemble Modeling, etc
- Unsupervised modeling techniques such as K-means, PCA. LDA, etc are a plus
- Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership
- Strong passion for learning about our products and markets through in-house and external training
- Experience in high-growth /pre-IPO Technology companies
What the job involves
- Lead customer data studies, providing valuable insight to Sales & Customer Success teams both during pre & post sale
- Synthesize data learnings into compelling stories and communicate to stakeholders
- Monitor and help refine metrics for product efficacy and customer success
- Assist in prototyping new analytics & machine learning models that improve both our insights and the product directly
- Work with product and engineering teams to aid testing of new product ideas and analyze results to provide actionable recommendations
- Perform deep analysis and build models to understand customer and product behavior, and extract key insights that impact product decisions
- Work with the broader Data team to find ways to scale our insights through better systems and automation
- Act as a strategic partner to product and engineering leaders to help prioritize opportunities and inform product strategy
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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