Data Scientist

Data Scientist

This job is no longer open
You will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.

We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.

Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.

Come join our team!

We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for a Data Scientist to join our team, and work on analysis and modeling.

JOB REPONSIBILITIES:

    • Research and develop ML learning models and technology to power Neuro-ID products
    • Data analysis and visualization

REQUIRED QUALIFICATIONS:

    • 2 -4 years experience delivering data science projects analyzing and modeling real-world problems
    • Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
    • Familiar with Python (pandas, NumPy, sci-kit-learn, etc) and SQL, experience with Snowflake and/or Looker is a plus
    • Ability to adapt to a fast paced and flexible work environment
This job is no longer open
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