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    Data Scientist - San Francisco, United States - STOITECH Executive Search and Placement

    STOITECH Executive Search and Placement
    STOITECH Executive Search and Placement San Francisco, United States

    5 days ago

    Default job background
    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 impact

    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 key 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

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