Data Science Analyst

| Greater Denver Area

Data Science Analyst

Position Summary

Payfone Data Analysts play a critical role in building the next generation of authentication products. You will work closely with engineering, product and sales teams to refine products that directly impact customer experiences. You’ll play a pivotal role in shaping the future of identity verification and help us achieve our mission of creating a state-of-the-art frictionless authentication platform.

What you’ll be doing:

  • Lead customer data studies, providing valuable insight for sales during pre-sales function
  • 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
  • Synthesize data learnings into compelling stories and communicate to stakeholders
  • Monitor and help refine metrics for product efficacy and customer success
  • 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

What we look for in you:

  • Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
  • Understanding of statistical concepts and experience in applying them
  • Experience in R or Python.
  • Experience in a scripting language (C-shell or Bash).
  • Be able to independently create plans for analytics projects and build collaboration within the team
  • Bachelors Degree with 2+ years relevant experience or Masters in related field
  • Working knowledge of basic data science concepts such as:

-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

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Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • PHPLanguages
    • PythonLanguages
    • AngularJSFrameworks
    • SpringFrameworks
    • OracleDatabases
    • RedisDatabases
    • Dynamo DBDatabases

Location

We're in the heart of Downtown Denver. Our office is accessible via light rail and steps from various restaurants, cafes and the 16th Street Mall.

An Insider's view of Payfone

What’s the vibe like in the office?

The vibe is great! Payfone's done a good job hiring people who really fit the company culture, so everyone gets along. It makes it easy to work hard when you know everyone else in the office is equally motivated and working to make the company more successful. Payfone also does a great job hosting events that get everyone together outside of work.

Easton

Implementation Manager

How has your career grown since starting at the company?

I'm constantly challenged to think outside the box. The complexity of our products creates an environment where the projects I'm working on require that I switch between several skills from documentation to data analysis and research. It couldn't get any better! I have a wider and deeper understanding of how a tech company operates.

Moses

Associate Business Analyst

What are Payfone Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Parking
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