
Advanced Data Scientist Position
7 days ago
About the Role
">We are seeking a skilled Machine Learning Engineer to join our team. As a key member of our organization, you will play a crucial role in developing and deploying machine learning models that drive business growth and improve customer experiences.
">The ideal candidate will have hands-on experience building software in a production environment, with a strong background in programming languages such as Python and SQL. They will also possess a diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
">We are looking for a self-motivated individual who is passionate about using data to drive business outcomes. The successful candidate will be able to work independently and collaboratively as part of a fast-paced, innovative, and customer-focused team.
">About Us
">We are a mission-driven company that is passionate about providing equal opportunities for everyone to access financial services. Our team is dedicated to delivering world-class products and experiences that meet the evolving needs of our customers.
">We value diversity, inclusivity, and collaboration, and we believe that the best ideas come from anywhere in the company. We offer a competitive salary and equity package, as well as a range of benefits that promote work-life balance and professional development.
">Key Responsibilities
">- ">
- Credit Decisions: Develop and deploy machine learning models that identify good borrowers and reduce credit risk.">
- Customer Service: Use machine learning and natural language processing to automate customer service interactions and provide context to our customer service team.">
- Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.">
- Team Work: Collaborate with cross-functional teams to improve processes and drive business outcomes.">
Required Skills and Qualifications
">- ">
- 2+ years of hands-on experience building software in a production environment.">
- Excellent programming skills in languages such as Python and SQL.">
- A diverse range of data skills, including experimentation, statistics, and machine learning.">
- A deep understanding of cloud computing infrastructure and data pipelines in production.">
- Self-motivation and passion for using data to drive business outcomes.">
- Excellent communication and collaboration skills.">
Benefits
">- ">
- Competitive salary and equity package.">
- A range of benefits that promote work-life balance and professional development.">
- Ongoing training and development opportunities.">
- A dynamic and supportive work environment.">
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