Join Us! Take the next step in your journey at Inspira Financial. You will help businesses and individuals thrive today, tomorrow, and into retirement. Become part of a company that is people centric and client obsessed in every interaction; a community of forward-thinking individuals focused on driving results to deliver our mission with an unwavering commitment to integrity. Join us as we strengthen and simplify the health and wealth journey -- relentlessly pursuing better outcomes for all. We believe in finding the best talent! While some roles are based at one of our office locations, remote roles can sit in any of the following states: AL, AZ, FL, GA, IA, IL, IN, MI, MN, MO, NC, NE, PA, SC, TN, TX, UT, VA and WV. Remote status and role locations are subject to change. Relocation is not provided. Employees within a 90-minute radius of our Oak Brook, IL headquarters are required to adhere to the company in-office work guidelines of 4 days per month minimum from 10 am to 2 pm (1 of the 4 days must be a Monday or Friday). This requirement does not apply to support specialist positions. Job Summary & Responsibilities Inspira is seeking highly skilled and intellectually curious Data Scientist to join our dynamic Data Science & Analytics Organization. The role is central to driving data informed decision-making across the organization by developing predictive models, uncovering insights and building scalable analytic solutions. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data engineering, along with the ability to communicate complex findings in a clear and actionable manner to both technical and non-technical stakeholders. Duties & Responsibilities: Develop and deploy predictive models and machine learning algorithms to solve business problems and optimize performance Conduct exploratory analysis to identify trends, patterns and opportunities Collaborate with cross-functional teams to define business questions and translate them into analytical frameworks Build and maintain data pipelines and ensure data quality, integrity, and accessibility Design and deliver visualizations and dashboards that communicate insights effectively Apply statistical techniques to test hypotheses validate model performance Document methodologies, code and findings to ensure transparency and reproducibility Preferred Qualifications Bachelors degree in Data Science, Statistics, Mathematics or related field (Masters degree preferred) 3 - 5+ years of experience in data science or advanced analytics role Proficiency in programming languages such as Python, SQL and R Proficiency with statistical modeling and machine learning Familiarity with cloud data platforms (Snowflake, Azure) Experience with data visualization tools (Tableau, Looker) Experience with Docker Containers Excellent communication and storytelling skills Experience with MLOps, model deployment, and version control (Git) [preferred] Knowledge of natural language processing (NLP) or deep learning techniques Exposure to semantic layer design and data governance frameworks Compensation & Benefits $92,000-$102,000 per year