Data Scientist
Share
Job Location:
Richmond, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
At Koalafi we believe in a world where no one has to put an important purchase on hold. Thats why were making it easier for more people to pay for big purchases over time.
Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers while increasing sales and strengthening customer loyalty. 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 were transforming the financing experience and joining our team
What Youll 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 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 Manager 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.
- 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
- 2 years of hands-on experience building and deploying machine learning models with a strong grasp of the end-to-end modeling lifecycle from feature engineering to validation and productionization.
- 2 years of professional experience writing performant maintainable Python code in a collaborative production environment leveraging core data science libraries like pandas numpy xgboost and scikit-learn.
- Proficient in SQL for querying transforming and analyzing large datasets and comfortable working across relational databases and cloud-based data platforms.
- Strong understanding of data structures algorithms and software engineering principles and apply them to build robust and scalable data solutions.
- Bachelors degree in a quantitative or STEM field (e.g. Statistics Mathematics Computer Science Engineering) and demonstrate strong analytical and problem-solving skills in your work.
- Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond VA or Arlington VA). Candidates must already be located within a commutable distance to either location as relocation assistance is not available at this time.
Preferred Qualifications
- Advanced technical and analytical background ideally with a Masters or PhD in a quantitative or STEM field and a 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 experience working in fast-moving high-growth environments such as startups.
- Experience with modern ML infrastructure and tooling including MLOps frameworks (e.g. MLflow BentoML) CI/CD automation and model observability monitoring and lifecycle management.
- Familiarity with large language models (LLMs) and their deployment in production environments.
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. Youll 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.
Benefits:
At Koalafi you will have a direct impact on our products and help shape the companys success. We offer competitive compensation & benefits packages to keep you at your best:
- Comprehensive medical dental and vision coverage
- 20 PTO days 11 paid holidays
- 401(k) retirement with company matching
- Student Loan & Tuition Reimbursement
- Commuter assistance
- Parental leave (maternal paternal)
- Inclusion and Associate Engagement Programs
Who we are & what we value:
- We focus on whats 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
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Koalafi provides financing for customers with non-prime credit, and supports them from purchase to payoff and beyond. Better options for them, more sales for merchants.
