Operational Data Scientist

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics practice within an established enterprise. You will work at the intersection of advanced analytics, machine learning, and business problem-solving, turning complex datasets into actionable insights that directly influence strategy and performance.You will partner closely with business stakeholders across functions to understand their challenges, design analytical solutions, and communicate findings in ways that drive real outcomes. This is a high-impact, hands-on role suited for someone who is as comfortable building and deploying models as they are presenting insights to non-technical audiences.We offer:Key ResponsibilitiesDevelop, validate, and deploy machine learning and statistical models to support operational decision-makingCollaborate with business partners to frame problems, identify data needs, and translate analytical outputs into actionable recommendationsWork within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scaleContribute to the development of repeatable analytical frameworks, pipelines, and best practices as the team maturesEnsure data quality and discoverability across the analytics environmentCommunicate complex findings clearly to both technical peers and non-technical stakeholdersHelp build a data-driven culture by demonstrating the value of analytics through practical, high-visibility workTasks and Qualifications:Skills & CapabilitiesProficiency in Python and/or R, with strong SQL skills for data access and manipulationDemonstrated experience building and deploying ML models (regression, classification, clustering, forecasting)Experience with cloud-based data platforms; familiarity with Databricks or similar tools (e.g., Snowflake, Azure ML) is a plusComfort working with large-scale distributed data in a cloud environment (Azure, AWS, or GCP)Strong communication skills with the ability to translate analytical work into business impactA self-starter mindset that is comfortable with some ambiguity and energized by the chance to build something meaningfulA collaborative, intellectually curious approach with a bias toward practical application over theoretical eleganceSummaryLocation: Grand Rapids, MI, United States; Wauwatosa, WI, United States; Henrietta, NY, United States; Atlanta, GA, United States; Plano, TX, United States; Salt Lake City, UT, United StatesType: Full time