ACIMA

Acima is a young and dynamic leasing company that provides consumers financing options for life necessities that otherwise would not be available to them. We help with financing options from tires/wheels to furniture and appliances. Acima blends the use of innovative online technology with a fast and easy application process for thousands of retailers nationwide. Customers love us because we make the impossible possible. Retailers love us because we make it easy for them.

Summary:

We are looking for an experienced data scientist with experience forecasting time series using machine learning techniques in addition to traditional methods such as ARIMA, GARCH, or Holtz-Winters. The ideal candidate will have 7+ years of experience in building and maintaining forecasting models. Additionally, they will have experience using tools such as Python, SQL, Redshift, AWS, Excel/GSheets, and Docker.

Responsibilities

• Wrangle data using python or SQL to access our Redshift hosted data warehouse
• Build models to predict various business insights using python, notebooks, etc.
• Build dashboards showcasing your findings using the BI tool, Sisense/Periscope
• Create forecasting models to predict application volume, funding volume, lease performance, etc.
• Work closely with the finance team to provide clear insight into how you arrived at your forecast
• Collaborate with team members

Compensation

• 401K matching
• Health Care etc.
• Unlimited DTO

Qualifications

• Can commute to Draper Utah for in office work (a hybrid of work from home and office is potentially feasible)
• Be willing to work in Python (numpy, pandas, scipy, sklearn, xgboost, tensorflow, flask, fastapi, pydantic, etc.)
• Understands how to train models that generalize well
• Able to meet strict deadlines and deliverables
• Works as a liaison between business and several functions, as well as transforming business requirements into analytical outputs.
• Ability to work independently and to take responsibility
• 7+ years of experience in forecasting
• 5+ years of experience in Python or R, preferably python