Koalafi Is Hiring
Overview
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. Retailers rely on us to offer flexible lease-to-own financing to non-prime consumers, increasing sales and strengthening customer loyalty. 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? What You’ll Do
Do you have a passion for data, analytics, and machine learning models? Koalafi is searching for an innovative Data Scientist with strengths in building, deploying and maintaining production ML models to join our team. The ideal candidate will oversee our end-to-end decisioning platform and have a solid background in predictive modeling and data science, contributing insights beyond just writing code. This position reports to the Manager of Data Science and collaborates with senior leaders within the credit analytics, fraud, and technology teams. You will work closely with our product and engineering teams to drive critical business outcomes. 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 processes for monitoring, tracing, profiling, and debugging deployed models. Work 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. Translate the complexity of your work into tangible business goals using strong interpersonal communication. About You
2+ years of hands-on experience building and deploying machine learning models through the full modeling lifecycle, including feature engineering, validation, and productionization. 2+ years of professional experience writing performant, maintainable Python code in a collaborative production environment, using libraries such as pandas, numpy, xgboost, and scikit-learn. Proficient in SQL for querying and analyzing large datasets; comfortable with relational databases and cloud-based data platforms. Strong understanding of data structures, algorithms, and software engineering principles; ability to build robust, scalable data solutions. Bachelor’s degree in a quantitative or STEM field (e.g., Statistics, Mathematics, Computer Science, Engineering) and demonstrated analytical and problem-solving skills. Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must be located within commuting distance; relocation assistance is not available. Preferred Qualifications
Advanced technical background, ideally with a Master’s or PhD in a quantitative or STEM field, with strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models). Exposure to data and compute platforms such as Snowflake and Databricks. Background in financial services or fast-moving, high-growth environments like startups. Experience with modern ML infrastructure and tooling, including MLOps frameworks (e.g., MLflow, BentoML), CI/CD automation, and model observability and lifecycle management. Familiarity with large language models (LLMs) and production deployment. Why Koalafi
A career at Koalafi means opportunities to tackle exciting challenges daily. We value innovation, trust, and ownership. You’ll push beyond your comfort zone, build meaningful relationships, and lead projects that help people get what they need. We offer competitive compensation and benefits to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs 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 For candidates who wish to receive future opportunities, you may create a job alert. We do not include non-relevant boilerplate or application field clutter in this description. Equal Opportunity & Self-Identification
Koalafi is an equal opportunity employer. We may request voluntary self-identification information for government reporting purposes. Completion is optional and confidential. This information will not be used in hiring decisions. See our policy on equal employment opportunity and related disclosures in the application process.
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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. Retailers rely on us to offer flexible lease-to-own financing to non-prime consumers, increasing sales and strengthening customer loyalty. 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? What You’ll Do
Do you have a passion for data, analytics, and machine learning models? Koalafi is searching for an innovative Data Scientist with strengths in building, deploying and maintaining production ML models to join our team. The ideal candidate will oversee our end-to-end decisioning platform and have a solid background in predictive modeling and data science, contributing insights beyond just writing code. This position reports to the Manager of Data Science and collaborates with senior leaders within the credit analytics, fraud, and technology teams. You will work closely with our product and engineering teams to drive critical business outcomes. 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 processes for monitoring, tracing, profiling, and debugging deployed models. Work 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. Translate the complexity of your work into tangible business goals using strong interpersonal communication. About You
2+ years of hands-on experience building and deploying machine learning models through the full modeling lifecycle, including feature engineering, validation, and productionization. 2+ years of professional experience writing performant, maintainable Python code in a collaborative production environment, using libraries such as pandas, numpy, xgboost, and scikit-learn. Proficient in SQL for querying and analyzing large datasets; comfortable with relational databases and cloud-based data platforms. Strong understanding of data structures, algorithms, and software engineering principles; ability to build robust, scalable data solutions. Bachelor’s degree in a quantitative or STEM field (e.g., Statistics, Mathematics, Computer Science, Engineering) and demonstrated analytical and problem-solving skills. Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must be located within commuting distance; relocation assistance is not available. Preferred Qualifications
Advanced technical background, ideally with a Master’s or PhD in a quantitative or STEM field, with strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models). Exposure to data and compute platforms such as Snowflake and Databricks. Background in financial services or fast-moving, high-growth environments like startups. Experience with modern ML infrastructure and tooling, including MLOps frameworks (e.g., MLflow, BentoML), CI/CD automation, and model observability and lifecycle management. Familiarity with large language models (LLMs) and production deployment. Why Koalafi
A career at Koalafi means opportunities to tackle exciting challenges daily. We value innovation, trust, and ownership. You’ll push beyond your comfort zone, build meaningful relationships, and lead projects that help people get what they need. We offer competitive compensation and benefits to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs 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 For candidates who wish to receive future opportunities, you may create a job alert. We do not include non-relevant boilerplate or application field clutter in this description. Equal Opportunity & Self-Identification
Koalafi is an equal opportunity employer. We may request voluntary self-identification information for government reporting purposes. Completion is optional and confidential. This information will not be used in hiring decisions. See our policy on equal employment opportunity and related disclosures in the application process.
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