Connecting linkedin

W1siziisimnvbxbpbgvkx3rozw1lx2fzc2v0cy9oyw1sew4td2lsbglhbxmvanbnl2jhbm5lci1kzwzhdwx0lwpvyi5qcgcixv0

Job

Data Scientist

  • Location

    Remote

  • Sector:

    Financial Services and Banking, Technology

  • Job type:

    Permanent

  • Salary:

    Competitive

  • Contact:

    Devan Kovach

  • Contact email:

    d.kovach@hamlynwilliams.com

  • Salary high:

    0

  • Salary low:

    0

  • Published:

    4 months ago

  • Expiry date:

    2021-07-25

  • Startdate:

    ASAP

Data Scientist

I’ve recently partnered with a rapidly growing fintech company to build out a Data Science team to fully support meaningful customer engagement, product performance while mitigating risk. This firm is disrupting the payments industry, utilizing modern technology, and leveraging AI/Machine Learning Methods. This is a key hire, as it is one of the first in the team. We are looking for highly motivated and adaptable individuals who thrive in a fast-paced, startup environment.

Responsibilities:

  • Build AI/Machine Learning Models to enhance customer and merchant experience.
  • Lead experimental design to run test vs. control to optimize decisions across customer lifecycle.
  • Build and utilize underwriting and customer management scorecards to better predict probability of default based on various sources of information.
  • Develop application stage scorecards.
  • Build behavioral models to predict spending, revolver vs transactor behavior, balance etc. that are a key factor into customer lifetime valuation models that determine approval/decline and limit assignment.
  • Perform deep dive analysis into spend and reward redemption to help customers maximize the number of rewards earned in loyalty programs.
  • Work closely with Head of Data Science to drive research into new data sources and modeling techniques for continuous improvement relating to business outcomes.
  • Create robust tracking processes that closely monitor performance of AI/machine learning models to ensure working accuracy of score cards.

Requirements:

  • Advanced degree in data science
  • 3-5 years of industry experience building data science solutions that solve business problems in a consumer facing technology company.
  • Strong knowledge of machine learning, statistical analysis, and A/B testing.
  • Strong communication skills and ability to communicate analytics to both technical and non-technical audiences.
  • Exposure to Machine Learning and open-source tools in model development and implementation.
  • Strong programming skills, must be proficient in SQL/Spark, Python or R.
  • Former experience in product or growth analytics.

This opportunity can be performed remote and offers a highly competitive compensation and benefits package. If you are passionate about fintech and data science, please apply directly for consideration!

#LI-DK1

#LI-REMOTE