Data Scientist

Overview We’re partnering with a client to add a contract Data Scientist (12 months) to support stakeholders through dashboards, analytics, and data-driven insights. The focus is on building tech-facing reporting that leaders can use to make decisions—starting with initiatives like contractor spend visibility, employee engagement survey analytics, software licensing insights, and network traffic trend/pattern analysis. What You'll Be Doing Analytics, Modeling & Business Insight • Build analytical models that support stakeholder planning and tech-related initiatives • Analyze datasets tied to contractor spend, workforce signals, and operational performance • Surface trends, outliers, and opportunities, and package findings for leadership consumption Dashboards & Reporting (Tableau) • Create and enhance interactive Tableau dashboards for stakeholders • Turn survey data into meaningful metrics and narratives, not just charts • Present results in a way that’s clear, structured, and actionable for senior audiences Data Work (SQL) + Partnering with Data/Engineering • Develop and tune advanced SQL for large, complex datasets • Collaborate across teams to ensure reporting is built on consistent definitions and reliable data • Contribute to making analytics more scalable (repeatable pipelines, cleaner datasets, improved accessibility) Advanced Analytics / ML (as needed) • Use statistical and machine learning approaches when they add value (forecasting, segmentation, predictive indicators) • Leverage Python to wrangle data, automate workflows, and support modeling efforts Stakeholder Collaboration • Work closely with stakeholders, and partner with Finance and HR as needed • Translate business questions into metrics, analysis plans, and practical deliverables • Communicate confidently with both technical and non-technical stakeholders What We’re Looking For (Must Haves) • 5+ years in data analytics / data science roles • Strong, hands-on SQL experience (comfortable with complex queries and performance considerations) • Proven experience building dashboards in Tableau (end-to-end ownership) • Background in data modeling and analytical problem solving • Ability to explain complex findings to non-technical audiences • Experience working with spend, workforce, or operational datasets (any combination) Preferred / Nice to Have • Strong Python (pandas, NumPy, scikit-learn, etc.) • Applied experience with predictive modeling / machine learning in real projects • Experience operating in fast-moving, cross-functional environments Equal Opportunity Employer/Veterans/Disabled