Senior Data Scientist

Overview

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. 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 an experienced Data Scientist Senior to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment.

• In this position you should have the following; 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 important, 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 Senior 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 a high level of professionalism, objectivity and an open mind to new ideas and solutions.
• Data Analysis:
  Participate and take ownership 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.
• Data Development:
  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. 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 in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.
• Collaboration:
  
  Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development that may include: serving as primary contact with business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new program/project development.

• 4 years of relevant experience required.
• Experience in data analytics,…