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Staff Data Scientist
2 months ago
Join STOITECH's Mission-Driven Data Science Team
We're a growing FinTech startup building innovative products that empower everyday consumers to manage their finances. As a Staff Data Scientist, you'll play a key role in designing and developing cutting-edge AI models to power our FinTech solutions.
What You'll Do:
- Design and Develop AI Models: Create innovative AI models to detect fraud, improve financial growth tools, and drive business success.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, product managers, and engineers to bring your models to life and drive business outcomes.
- Stay Ahead of AI Research: Stay up-to-date with the latest AI research and integrate those advancements into your work to drive business success.
- Manage Projects Independently: Ensure timely and successful completion of deliverables, managing projects from start to finish.
- Communicate Complex Concepts: Effectively communicate complex technical concepts to a diverse team with varying levels of machine learning expertise.
- Contribute to Data Science Growth: Contribute to the development and growth of the data science function within STOITECH.
Why You'll Love It Here:
- Fast-Paced, High-Growth Environment: Make a real impact on a growing startup and drive business success.
- Exceptional Learning & Development: Work alongside experienced data scientists and hone your skills to drive business success.
- Meaningful Work: Apply your expertise to build models that improve people's financial well-being and drive business success.
- State-of-the-Art Data Infrastructure: Leverage clean, well-organized datasets and advanced tooling to drive business success.
Who You Are:
- Master's 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.