Job Description

Data Scientist

Corporate Office
13907 Minuteman Dr 5th Floor
Draper Utah 84020
Job ID:
Job Description:


At Acima we rely on powerfully insightful data to power our systems and solutions. We’re seeking an data scientists to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future.

Objectives of this Role

  • Collaborate with product design and engineering to develop an
    understanding of needs
  • Research and devise innovative statistical models for data analysis
  • Communicate findings to all stakeholders
  • Enable smarter business processes—and implement analytics for
    meaningful insights
  • Keep current with technical and industry developments

Daily and Monthly Responsibilities

  • Work as the lead data strategist, identifying and integrating new datasets
    that can be leveraged through our product capabilities and work closely
    with the engineering team to strategize and execute the development of
    data products
  • Execute analytical experiments methodically to help solve various
    problems and make a true impact across various domains and industries
  • Identify relevant data sources and sets to mine for client business needs,
    and collect large structured and unstructured datasets and variables
  • Devise and utilize algorithms and models to mine big data stores, perform
    data and error analysis to improve models, and clean and validate data for
    uniformity and accuracy
  • Analyze data for trends and patterns, and Interpret data with a clear
    objective in mind
  • Implement analytical models into production by collaborating with
    software developers and machine learning engineers.
  • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems


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