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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 Senior Data Scientist to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment. The Data Scientist Senior 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 successful candidate is comfortable working with and building AI/ML models, including utilizing and/or tuning Large Language Models (LLMS). They have experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions. The role includes working within modern data platforms, such as Databricks, to develop and optimize scalable data pipelines and machine learning models. Our Data Scientists automate business workflows and answer business questions to improve CLA by integrating ML or AI algorithms into our decision-making processes. In contrast to an Associate, the Senior will develop 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. The role includes working within modern data platforms, such as Databricks, to develop and optimize scalable data pipelines and machine learning models. How you'll create opportunities in this Senior 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: Participate and take ownership of designing the collection, analysis, and automated collection of data using a variety of data tools. 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. 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. Begin to "connect the dots" between our data sources and how they can be co-leveraged to accomplish the broader data vision of our organization. AI-Driven Workflows: Contribute to automating business workflows by incorporating LLMs and other AI models to streaml ne processes and improve efficiency. Integrate AI-driven solutions within existing systems to provide advanced predictive capabilities and actionable insights. 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. What you will need: 2 - 5 years of experience in data analytics, statistics, data science, financial consulting, computer science or related field. Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree. Technical Competencies: Knowledge, expertise, and/or exposure/understanding of in data science and statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (regression modeling, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. * Understand the domain specific nature of data being collected/analyzed and how data may be utilized to satisfy project objectives * Experience/interest in developing and optimizing data pipelines for machine learning and AI model training and evaluation. Familiarity with cloud-based services for scalable AI/ML deployments. * Develop service and industry specific knowledge through greater exposure to peers, internal experts, and/or self-study or formal training * Transform/wrangle data using best practice standard packages from the industry (pandas, etc.) * Experience with a variety of machine learning models and dimension reduction techniques including but not limited to: linear/logistic regression and other generalized linear models, tree based methods such as CARTs, random forests, boosting, SVMs, penalized methods such as ridge and LASSO (elastic nets), PCA, t-SNE, clustering methods, and other methods that can be applied to create predictive or inferential/descriptive models * Ability to code in Python, R, SQL, and other TBD languages. Experience with Databricks is a plus. * Learn to engineer or derive new features for increased accuracy of future predictions from a trained ML model * Comfortable with version control (git) in local and remote setting (GitHub/Azure DevOps) and working as a team developing large software solutions * Write unit tests to assure reliability and accuracy of software results * Create exploratory and descriptive analyses using Jupyter or similar technology #LI-DJ1 Equal Opportunity Employer /AA Employer/Minorities/Women/Protected Veterans/Individuals with Disabilities. Click here 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, 401k and much more. To view a complete list of benefits click here. CLA is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law. EOE/AA Employer/Vets/Disability