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Home›Jobs›Koalafi›Senior Data Scientist
Koalafi

About Koalafi

Financing solutions for every credit profile

🏢 Tech👥 251-1K📅 Founded 2014📍 Glen Allen, Virginia, United States

Key Highlights

  • Headquartered in Glen Allen, Virginia
  • Over 1,000 retail partners nationwide
  • Flexible financing for all credit types
  • Strong focus on customer accessibility

Koalafi, headquartered in Glen Allen, Virginia, specializes in flexible financing solutions that cater to consumers with varying credit profiles. The company partners with retailers to offer point-of-sale financing, enabling customers to purchase essential items immediately. With over 1,000 retail p...

🎁 Benefits

Koalafi provides competitive compensation packages, equity options, generous PTO policies, and a flexible remote work environment to support work-life...

🌟 Culture

Koalafi fosters a culture of inclusivity and innovation, focusing on customer-centric solutions and leveraging technology to enhance the financing exp...

🌐 Website𝕏 TwitterAll 19 jobs →
Koalafi

Senior Data Scientist

Koalafi • Richmond, VA or Arlington, VA

Posted 3w agoSeniorData scientist📍 Richmond📍 Arlington
Apply Now →

Skills & Technologies

PythonMachine learningSQL

Overview

Koalafi is seeking a Senior Data Scientist to lead the development and deployment of high-impact fraud and credit risk models. You'll work with Python and SQL to enhance the company's decision-making ecosystem. This role requires significant experience in data science and machine learning.

Job Description

Who you are

You are a seasoned data scientist with over 5 years of experience in building and deploying machine learning models. Your expertise lies in developing high-impact fraud and credit risk models that drive profitability and enhance decision-making processes. You thrive in an end-to-end environment, adept at designing predictive models and operationalizing them in production settings. Your strong business intuition allows you to translate complex modeling insights into strategic decisions that influence credit outcomes and fraud mitigation.

You possess a deep understanding of data science methodologies and are proficient in programming languages such as Python. Your experience includes working with SQL for data manipulation and analysis, ensuring that you can effectively handle large datasets and derive actionable insights. You are comfortable collaborating with cross-functional teams, including engineering and business stakeholders, to align data science initiatives with organizational goals.

Desirable

Experience with cloud platforms and tools for model deployment is a plus, as is familiarity with data visualization tools that can help communicate insights effectively. You are also encouraged to bring any experience with financial services or credit risk management, which will enhance your contributions to the team.

What you'll do

In this role, you will lead the development and deployment of machine learning models that are critical to Koalafi's portfolio profitability. You will be responsible for the entire lifecycle of model development, from initial design through to monitoring performance in a dynamic market. Your contributions will directly influence the company's ability to mitigate fraud and optimize credit decisions, making your role pivotal to the organization's success.

You will collaborate closely with the Manager of Data Science and other team members to ensure that models are not only effective but also aligned with business objectives. Regularly, you will analyze model performance and make necessary adjustments to improve accuracy and reliability. Your insights will help shape strategic decisions that impact the financial performance of the company.

What we offer

At Koalafi, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and benefits, including paid holidays, a 401(k) retirement plan with company matching, and tuition reimbursement. Our culture emphasizes inclusion and engagement, ensuring that every team member feels valued and inspired to contribute their best work. Join us in transforming the financing experience for consumers and retailers alike.

Interested in this role?

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