Data Scientist

Summary

SERVPRO is a trusted leader in fire and water cleanup and restoration services. The Data Scientist role delivers measurable business value by applying advanced analytics, machine learning, geospatial modeling, and generative AI solutions to enhance decision-making and operational performance within the organization.

Responsibilities

• Acquire, clean, and prepare large structured and unstructured datasets for modeling and analysis
• Combine disparate and diverse data sources, including operational, financial, and geospatial datasets
• Perform exploratory data analysis and data mining to uncover meaningful patterns and insights
• Design, build, validate, and deploy predictive and prescriptive models using modern statistical and machine learning techniques (e.g., regression, classification, clustering, time-series forecasting, and anomaly detection)
• Develop and test heuristics to support business decision making
• Perform geospatial analytics and spatial modeling to support territory planning, storm impact analysis, and operational insights
• Monitor, evaluate, and continuously improve model performance
• Write efficient, maintainable, and scalable code suitable for production environments
• Ensure all technical artifacts and code repositories are properly documented and archived (e.g., Gitlab, Bitbucket)
• Design, develop, and integrate generative AI applications (e.g., LLM-based tools, document analysis, workflow automation) into business workflows
• Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and foundation models
• Identify and evaluate opportunities to leverage emerging AI technologies for business transformation

Skills

• 2+ years of experience in Data Science, Data Engineering, or a related quantitative role or equivalent combination of graduate education and hands-on project experience
• Proficiency in multiple programming and querying languages, including Python and SQL
• Experience building and deploying machine learning models in a production environment
• Experience with geospatial analytics and spatial data tools (e.g., GeoPandas, ArcGIS, spatial SQL, or similar technologies)
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS)
• Experience with Data Visualization tools
• Strong intuition for analytical methodologies and solving novel technical challenges
• Excellence in balancing multiple projects and efficiently meet goals in a fast-paced environment
• Strong written and verbal communication
• Ability to work independently and collaboratively within cross-functional teams
• Minimum of a bachelor's degree in statistics, physics, mathematics, engineering, computer science, or management of information systems
• Tableau experience preferred

Qualifications

Must Haves

• 2+ years of experience in Data Science, Data Engineering, or a related quantitative role or equivalent combination of graduate education and hands-on project experience
• Proficiency in multiple programming and querying languages, including Python and SQL
• Experience building and deploying machine learning models in a production environment
• Experience with geospatial analytics and spatial data tools (e.g., GeoPandas, ArcGIS, spatial SQL, or similar technologies)
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS)
• Experience with Data Visualization tools
• Strong intuition for analytical methodologies and solving novel technical challenges
• Excellence in balancing multiple projects and efficiently meet goals in a fast-paced environment
• Strong written and verbal communication
• Ability to work independently and collaboratively within cross-functional teams
• Minimum of a bachelor's degree in statistics, physics, mathematics, engineering, computer science, or management of information systems

Nice to Haves

• Tableau experience preferred

Benefits

• Excellent health benefits plan, which includes medical, vision and dental options
• 401(k) with company match
• Company profit sharing plan
• Generous paid time-off and paid holidays
• Paid parental leave
• Company-paid mental health benefit through Headspace
• 2 free on-site fitness rooms
• Employee Assistance Program
• Employee Resource Groups
• Personal and professional development program