- 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.
- 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.
- 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.
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Data Scientist - Seattle, United States - STOITECH
Description
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 impactWhat You'll Do:
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.