CLA (CliftonLarsonAllen) - Data Scientist Associate

paid / Indianapolis, IN or Charlotte, NC / full-time

Data Scientist Associate
At CLA we create inspired careers .

We recognize that not everyone wants to grow their career in the same way. That’s why CLA exists to create opportunities . We promise to know you and help you.

CLA, one of the nation’s largest public accounting and professional services firm is currently seeking a Data Scientist Associate to join our growing Digital Transformation team in our Indianapolis, IN or Charlotte, NC office.

Position Summary:
The Data Scientist Associate thrives when constructing complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. It is not uncommon for our Data Scientists to automate business workflows while integrating stochastic/numeric algorithms in the process. Creating and modifying predictive algorithms to uncover and answer business questions makes us tick. Our products are usually delivered as a scheduled deployment, markdown report, dashboard, shiny application, or API.

As a Data Scientist Associate, you will:

  • Participate in the collection, analysis, and automated collection of data using a variety of data tools.
  • Together with the Data Analytics team, support the building and implementing of models, algorithms, and simulations supporting solutions for external clients and internal projects.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Working under the guidance of a variety of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets.
  • Gain experience with predictive and inferential analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and

Your experience includes:

  • Experience: No experience required.
  • Education: Bachelor’s degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) required.

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