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