Data Scientist
Milwaukee, WI, United States
CLA (CliftonLarsonAllen)
CLA is a professional services firm delivering integrated wealth advisory, digital, audit, tax, outsourcing, and consulting services. Learn more about CLA.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. Even with more than 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.
Our Perks:
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
- Complete list of benefits here
CLA is growing and seeking to hire an experienced 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 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).
How you’ll create opportunities in this Data Scientist role:
• Expand Knowledge/Exposure: 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 program/project situations to develop business and organizational/planning 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 & AI Solutions: Collaborate with internal teams to collect, analyze, and automate data processing. Leverage AI models, including LLMs, for developing intelligent solutions that enhance data-driven decision-making processes for both internal projects and external clients. Leverage machine learning methodologies, including non-linear, linear, and forecasting methods to help build solutions aimed at better understanding the business of CLA, making CLA more efficient, and planning our future.
• Data Development: Working under the guidance of a variety of Data Science 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 analyze solution performance and accuracy and communicate findings to team members and end users.
• AI-Driven Workflows: Contribute to automating business workflows by incorporating LLMs and other AI models to streamline processes and improve efficiency. Integrate AI-driven solutions within existing systems to provide advanced predictive capabilities and actionable insights.
• Collaboration: With specific direction, learn to work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues.
What you will need:
- 1 year of experience preferred
- Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred.
- Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
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Equal Opportunity Employer /AA Employer/Minorities/Women/Protected Veterans/Individuals with Disabilities.
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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, 401k and much more.
To view a complete list of benefits click here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Consulting Data analysis Databricks Data pipelines LLMs Machine Learning ML models Pipelines Python R SQL
Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Parental leave Wellness
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