What are the responsibilities and job description for the Data Scientist position at Patriot Talent Solutions?
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