Data Scientist (In-Office)
Are you passionate about using data science 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!
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.
What You'll Do :
- Leverage your expertise in data science , deep learning , and neural networks to unlock valuable insights from our extensive datasets .
- Develop and refine impactful models that address critical business needs, such as user growth, fraud detection , and risk management.
- Collaborate closely with product managers and engineers to translate models into real-world data products.
- Effectively communicate findings to both technical and non-technical audiences.
- Play a vital role in the growth and development of our Data Science function.
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.
- 3+ years of hands-on experience in data science , deep learning , and neural networks . Proficiency in Python , R , or Scala .
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Passion for learning and building innovative models .
Ready to Make a Difference?
If you're a data science 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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