Data Scientist

Summary

Peoplease is a professional employer organization providing payroll, human resources, benefits, and risk management solutions to small and medium-sized businesses. The Data Scientist will support the CFO’s function through data-driven analysis, modeling, data pipeline development, visualization, documentation, and scalable analytical tooling.

Responsibilities

• Understands the business questions the CFO's function is trying to answer and translate them into a clear analytical approach
• Source relevant data, build working examples, and iterate quickly based on feedback
• Apply a solid grasp of data structures and capabilities to identify the most efficient path to an answer
• Maintain a solution-focused mindset, balancing rigor with speed and practicality
• Build and maintain data pipelines and models to support recurring analysis and reporting needs
• Validate and reconcile data pulled from multiple source systems to ensure accuracy and consistency
• Identify and resolve data quality issues, gaps, or discrepancies across systems
• Create visualizations and dashboards that make findings clear and usable for decision-making
• Present analysis and recommendations to the CFO and other stakeholders in an accessible way
• Document methodology and assumptions thoroughly so work is repeatable and auditable
• Prototype tools and processes that can eventually be scaled to support the broader organization
• Recommend improvements to data infrastructure, systems, and workflows that support analytical work
• Stay current on data science tools and practices, applying them where they add practical value

Skills

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field; equivalent experience considered
• 3+ years of experience in data science, data analysis, or a related quantitative role
• Strong proficiency in a data analysis language such as Python or R, and in SQL alongside ability to leverage AI tools
• Experience building and maintaining data pipelines and models
• Experience validating and reconciling data across multiple source systems
• Proficiency with visualization and dashboarding tools (e.g., Power BI, Tableau, or similar)
• Strong documentation habits, with the ability to make methodology and assumptions clear to others
• Excellent problem-solving skills with a practical, solution-oriented approach
• Strong communication skills, with the ability to explain technical findings to non-technical stakeholders
• Self-starter with the ability to function as a remote employee in a distributed work team
• Experience supporting finance, risk, or operations functions a plus

Qualifications

Must Haves

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field; equivalent experience considered
• 3+ years of experience in data science, data analysis, or a related quantitative role
• Strong proficiency in a data analysis language such as Python or R, and in SQL alongside ability to leverage AI tools
• Experience building and maintaining data pipelines and models
• Experience validating and reconciling data across multiple source systems
• Proficiency with visualization and dashboarding tools (e.g., Power BI, Tableau, or similar)
• Strong documentation habits, with the ability to make methodology and assumptions clear to others
• Excellent problem-solving skills with a practical, solution-oriented approach
• Strong communication skills, with the ability to explain technical findings to non-technical stakeholders
• Self-starter with the ability to function as a remote employee in a distributed work team

Nice to Haves

• Experience supporting finance, risk, or operations functions a plus

Benefits

• Remote-first role with occasional travel for meetings, training, or industry events.
• Regular virtual collaboration across distributed teams.
• Competitive compensation and benefits package.