Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, 50 employees) building innovative products that empower everyday consumers to manage their finances.
Join their mission-driven Data Science team and make a tangible impact!
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
What You'll Do :
- Design and develop cutting-edge AI models to power the company's FinTech solutions (think fraud detection, financial growth tools, etc.).
- Collaborate closely with the data science team (including Staff Data Scientists), product managers, and engineers to bring their models to life.
- Stay on top of the latest AI research and integrate those advancements into their work.
- Manage projects independently, ensuring timely and successful completion of deliverables.
- Communicate complex technical concepts to a diverse team with varying levels of machine learning expertise.
- Contribute to the development and growth of the data science function within the company.
Why You'll Love It Here :
- Fast-paced, high-growth environment : Make a real impact on a growing startup.
- Exceptional learning & development : Work alongside experienced data scientists and hone your skills.
- Meaningful work : Apply your expertise to build models that improve people's financial well-being.
- State-of-the-art data infrastructure : Leverage clean, well-organized datasets and advanced tooling.
Who You Are :
- Master's degree or PhD in Computer Science, Physics, Mathematics, Engineering, or a related field.
- 5+ years of hands-on experience in data science, deep learning, and neural networks.
- Experience in a deep learning framework (PyTorch / TensorFlow).
- Extensive experience with at least 1 cloud computing provider (GCP preferred).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
- Passion for AI, finance, and building something that makes a difference.
Ready to Make a Difference?
If you're a machine-learning rockstar who thrives in a collaborative environment and wants to use your skills for good, we want to hear from you!
Please note : This is a full-time, in-office position in Seattle, WA, or San Francisco, CA.
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