Data Scientist

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.

• Flexible PTO (designed to offer flexible time away for you!)
• Up to 12 weeks paid parental leave
• 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 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.

The Data Scientist Associate 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.

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 - 2 years of experience preferred
• Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.

Knowledge, expertise, and/or exposure/understanding of 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.

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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.