Operations Data Analyst

4 weeks ago


Glen Allen, United States Koalafi Full time

At Koalafi, we believe in a world where no one has to put an important purchase on hold. That’s why we’re making it easier for more people to pay for big purchases over time.

Over 17,000 retailers rely on us to match their customers to a payment plan clearly and quickly, all while reflecting well on their brand. Their 2M+ customers love us because we provide a flexible way for them to make payments, and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers.

Interested in learning more about how we’re transforming the financing experience and joining our team?

 

At Koalafi, we believe in a world where no one has to put an important purchase on hold. That’s why we’re making it easier for more people to pay for big purchases over time.

Over 17,000 retailers rely on us to match their customers to a payment plan clearly and quickly, all while reflecting well on their brand. Their 2M+ customers love us because we provide a flexible way for them to make payments, and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers.

Interested in learning more about how we’re transforming the financing experience and joining our team?

Do you have a passion for data, analytics, and machine learning models? Koalafi is searching for an innovative Data Scientist with proven strengths in deploying and maintaining production ML models to join our team. The ideal candidate will not only possess the technical acumen to oversee our end-to-end decisioning platform but also have a solid background in predictive modeling and data science, ensuring they contribute insights beyond just writing code. This position will report to the Senior Director of Data Science and will also have contact with other senior leaders within the credit analytics, fraud, and technology teams. This person will work closely with our product and engineering teams and will have the opportunity to drive critical business outcomes for the company. 

*Level will be determined based on candidate's experience & qualifications*

  • Partner closely with the data science and engineering teams to deploy and maintain industry-leading risk, fraud, and forecasting models

  • Build, enhance, and scale an end-to-end production pipeline for ML models from data transformation to scoring

  • Create intuitive and efficient processes for monitoring, tracing, profiling, and debugging of deployed models

  • Work closely with the data science team and product owners to continuously evaluate and improve production models

  • Analyze customer dynamics and macroeconomic trends to optimize credit policy and influence business strategy

  • Leverage your interpersonal skills to translate the complexity of your work into tangible business goals

About You (Qualifications)

  • 2+ years of professional experience writing production code in python

  • 2+ years of experience deploying machine learning models

  • 2+ years of experience using SQL

  • Experience with python packages commonly used in data science including pandas, numpy, xgboost, and scikit-learn

  • Understanding of data structures, software design principles, and algorithms

  • Bachelor’s degree in a quantitative or STEM field such as Statistics, Mathematics, Computer Science, or Machine Learning

  • Experience with version control (e.g. Git)

  • Experience developing and managing automated CI/CD pipelines

Preferred Qualifications

  • 1+ years of experience in a fast-moving start-up

  • 1+ years of experience with large microservice-based architectures and container orchestration frameworks such as Kubernetes and Docker

  • 1+ years of experience with AWS

  • Experience with GraphQL, Snowflake, and Apache Spark

  • Master’s degree or PhD in a quantitative or STEM field

  • Experience in financial services

  • Experience with a serverless compute including AWS Lambda

  • Knowledge of machine learning concepts and techniques, including Boosting, Random Forests, Decision Trees, and Bayesian models

  • Strong analytic background with deep understanding of probability, statistics, and the fundamentals of predictive modeling algorithms

Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most.

Who we are & what we value: 

  • We focus on what’s most important
  • We set clear expectations and deliver
  • We embrace challenges to reach our full potential
  • We ask, “How can this be better?”
  • We move fast together

Benefits:

At Koalafi, you will have a direct impact on our products and help shape the company’s success. We offer competitive compensation & benefits packages to keep you at your best:

  • Comprehensive medical, dental, and vision coverage
  • 20 PTO days + 12 paid holidays
  • 401(k) retirement with company matching
  • Tuition reimbursement
  • Commuter assistance
  • Parental leave (maternal + paternal)
  • DEI Associate Engagement Programs


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