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Senior Data Scientist

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: CliftonLarsonAllen
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day for our clients, people, and communities through industry‑focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with over 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire a senior Data Scientist to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment.

In this position you should have excellent interpersonal skills with the ability to communicate at all levels. Strong problem‑solving and creative skills and the ability to exercise sound judgment. Most importantly, demonstrate a high level of integrity and dependability with a strong sense of urgency and results‑orientation.

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in Python, R, or other scripting languages. The role includes working within modern data platforms such as Databricks to develop and optimize scalable data pipelines and machine learning models, automating business workflows and answering business questions to improve CLA by integrating ML or AI algorithms into our decision‑making processes, and working with and building AI/ML models, including utilizing and/or tuning large language models (LLMs).

This role develops more autonomy to develop solutions and may lead others, take on administrative tasks, perform support roles, and get involved in new program/project development with our client‑facing teams.

How you’ll create opportunities in this Data Scientist role:
  • Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self‑study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with professionalism, objectivity and an open mind to new ideas and solutions.
  • Data Analysis: Take ownership in the collection, analysis, and automated collection of data using a variety of data tools. Along 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.
  • Data Development: Under guidance of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets. Execute predictive and inferential analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy, and communicate findings to team members and end users.
  • Collaboration: Work individually as well as with others. Interaction primarily virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development, such as serving as primary contact with clients or business leaders on internal projects, performing administrative tasks, and getting involved in new business development.
What you will need:

4 years of relevant experience required.

  • Experience in data analytics, statistics, data science, financial consulting, computer science or related field.
  • Experience with APIs, web scraping, SQL/no‑SQL databases, and cloud‑based data solutions.

Bachelor’s degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science, or related field preferred.
  • Master’s in Data Science/Analytics/AI is a plus.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities

to learn about your hiring rights.

Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well‑being and offer comprehensive benefit options that include health, dental, vision, 401(k) and much more.

To view a complete list of benefits, .

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Position Requirements
10+ Years work experience
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