Energy Jobline ZR
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
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 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 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 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.
Bachelor's 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.
Qualifications
Advanced technical and analytical background, ideally with a Master's 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 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. 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.
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 + 11 paid holidays
401(k) retirement with company matching
Student Loan & Tuition Reimbursement
Commuter assistance
Parental leave (maternal + paternal)
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
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
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 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 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 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.
Bachelor's 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.
Qualifications
Advanced technical and analytical background, ideally with a Master's 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 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. 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.
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 + 11 paid holidays
401(k) retirement with company matching
Student Loan & Tuition Reimbursement
Commuter assistance
Parental leave (maternal + paternal)
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
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.