Data Scientist Manager

CLA (CliftonLarsonAllen)•Indianapolis, IN

About The Position

CLA is looking to hire a Data Scientist Manager to join our growing Internal IT team. About the role: As a Data Scientist Manager, you will: The Data Scientist Manager thrives when constructing complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. It is not uncommon for our Data Scientists to automate business workflows while integrating stochastic/numeric algorithms in the process. Creating and modifying predictive algorithms to uncover and answer business questions makes us tick. Our products are usually delivered as a scheduled deployment, markdown report, dashboard, shiny application, or API. In contrast to a Senior, the Manager will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

Requirements

Five years of relevant experience required.
Experience in data analytics, statistics, data science, financial consulting, computer science or related field preferred.
Bachelor's degree is required.
Combination of relevant experience, education, and training may be accepted in lieu of degree.
Degree in a field of Business, Accounting, Finance, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred.
Master’s degree or Ph.D. preferred.

Responsibilities

Service Expertise: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Take on lead roles with client situations to develop and enhance 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: Plan, lead, and execute external and internal projects involving 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: Collaborate with others on the Data Analytics team members to develop 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.
People Development: Assist in developing and executing a Data Analytics/Data Science learning plan for varying levels of knowledge and experience.
Leadership: Focus on building knowledge of the business of CLA, business development skills, and emotional intelligence. Balance between working independently with specific direction and collaborating with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take a leadership role in developing people.
Collaboration: 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.