Full job description PURPOSE The Sr. Data Scientist is responsible for extracting insights from data across multiple business units and departments using advanced analytics, statistical modeling, and machine learning techniques. This role will analyze complex datasets, develop predictive models, and make strategic data-design decisions to support business decision-making. The Data Scientist will collaborate with business leaders, the software development team and field & shop operations to identify opportunities for data-driven improvements, develop scalable analytical solutions, and maintain data infrastructure. This position reports to the Software Development Team Leader and will work closely with stakeholders across Baker Group. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES The following duties are typical for this job. These are not to be constructed as exclusive or all inclusive. Other duties may be required and assigned. Analyzes statistics and information from multiple data sources to extract meaningful insights and identify trends that give the company a competitive advantage. Develops and implements statistical modeling frameworks, experiment designs, and tests to validate predictive models. Builds and deploys machine learning models for forecasting, classification, and optimization across business operations. Conducts scalable research and analysis on and off the cloud to support data-driven decision making. Creates compelling data visualizations and dashboards that effectively communicate complex insights to technical and non-technical audiences. Collaborates with business stakeholders to understand requirements, develop data-design strategies, and determine what insights are most valuable. Designs and implements statistical and machine learning approaches to analyze construction data including labor tracking, project performance, and resource allocation. Develops, refines, and scales data management and analytics platforms that enable efficient data processing for predictive modeling. Develops and maintains data pipelines and ETL processes to ensure data quality and availability. Produces and maintains comprehensive documentation on data models, analytical methodologies, and findings. Conducts quality assurance on data analysis outputs to ensure accuracy and reliability of insights. Researches and resolves data quality issues discovered in analysis reviews. Monitors key performance metrics for data infrastructure and analytical model performance. Maintains knowledge of emerging trends in data science, machine learning, and analytics tools and recommends relevant updates to management. Consults with management to determine future analytical requirements for upcoming projects and strategic initiatives. Supports business units with relevant data science needs including predictive analytics, optimization, and business intelligence. Stays current by researching new analytical techniques, tools, frameworks, and relevant solutions that will bring additional value to the organization. MINIMUM EDUCATION and EXPERIENCE REQUIRED TO PERFORM ESSENTIAL FUNCTIONS Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or other relevant quantitative field Master's degree in relevant field is a plus, but not a requirement 5 years or more experience in data science, analytics, or related field Proficiency with statistical programming languages such as Python or R Experience with SQL and database technologies for data extraction and manipulation Experience with Microsoft Fabric, ETL processes & medallion architecture best practices Experience with data visualization tools such as PowerBI, Tableau, or similar platforms Proven ability to work with large datasets and implement scalable analytical solutions Demonstrated experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) Strong understanding of statistical methods, experimental design, and predictive modeling techniques Well-developed business acumen and understanding of day-to-day business functions in construction or related industries is a plus CERTIFICATES, LICENSES, REGISTRATIONS No specific requirements; however, relevant certifications in data science, machine learning, or cloud platforms (Azure or Google Cloud) are a plus MENTAL AND PHYSICAL COMPETENCIES REQUIRED TO PERFORM ESSENTIAL FUNCTIONS Strong analytical and critical thinking skills with ability to translate complex data into actionable business insights Excellent time and project management skills with capability to prioritize and multitask across multiple analytical projects Current with industry trends in data science, machine learning, and best practices with ability to identify ones we should implement Exceptional troubleshooting and problem-solving skills with the ability to spot data quality issues and model performance problems before they impact business decisions Strong communication skills with ability to present technical findings to non-technical audiences Team player with strong collaboration skills and customer service orientation Must be able to focus on complex analytical problems and work independently with minimal supervision Ability to work in a fast-paced environment and adapt to changing business priorities Meticulous attention to detail and commitment to producing high-quality, accurate analytical work ENVIRONMENTAL ADAPTABILITY Prolonged periods of sitting at a desk and working on a computer Must be able to lift 10 pounds occasionally May have occasional visits to a job site which would require periods of standing, walking and/or climbing stairs EQUIPMENT/TOOLS Computer Baker Group is an Equal Opportunity Employer. In compliance with the Americans with Disabilities Act, Baker Group will consider reasonable accommodations for qualified individuals with disabilities and encourage prospective employees and incumbents to discuss potential accommodations with the Employer.