Senior Data Scientist

Senior Data Scientist role with Jacobs for Federal clients in Fort Worth, TX (hybrid) under the Advisory Solutions Group, Asset Management Digital Strategies Practice.

• Lead predictive modeling and machine learning solutions for business systems, asset management, sales, and commercial use cases.
• Apply regression, classification, segmentation, forecasting, clustering, and other statistical modeling techniques as appropriate.
• Explore, clean, transform, and analyze structured and unstructured data from multiple internal and external sources.
• Build repeatable data-mining processes covering data sourcing, data scraping where appropriate, feature engineering, modeling, validation, and evaluation.
• Use Python and data science libraries including pandas
  , Num Py
  , scikit-learn
  , Sci Py
  , Matplotlib
  , Seaborn
  , and Plotly
  .
• Develop, optimize, and maintain data models, dashboards, reports, and interactive decision-support tools.
• Design and improve data pipelines, database structures, APIs, data integrations, and analytical workflows.
• Support Digital Strategies activities using the Microsoft Azure technology stack;
  Palantir Foundry experience is advantageous.
• Support long-term Sales Data Science initiatives, including model development, statistical analysis, forecasting, and performance measurement.
• Establish data-quality, validation, documentation, and governance practices to improve reliability and responsible use of analytical products.
• Translate business questions into analytical approaches, explain results clearly, and provide practical, actionable recommendations.
• Work with Federal clients, consulting teams, and multidisciplinary project groups.
• Participate in workshops, technical discussions, requirements gathering, delivery planning, and client presentations.
• Document assumptions, methodologies, model performance, limitations, and recommendations to support responsible use.
• Review analytical methods, code, visualizations, and reports to ensure quality and alignment with project objectives.
• Lead analytical work streams and mentor mid and junior analysts and data scientists with technical guidance.
• Contribute to proposals, business development activities, technical presentations, and reusable analytical solutions.
• Stay current on developments in data analytics, asset management, cloud technologies, artificial intelligence, and machine learning.

• Typically 5+ years of experience in data science, advanced analytics, data analysis, business intelligence, or a related field.
• Demonstrated experience leading analytical projects or work streams from requirements gathering through implementation, delivery, and client adoption.
• Bachelor’s or Master’s degree in Data Analytics, Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Asset Management, or a closely related discipline.
• Strong Python skills with practical experience using pandas
  , Num Py
  , scikit-learn
  , Sci Py
  , and related libraries.
• Experience building regression models, statistical models, segmentations, forecasting solutions, and machine learning applications.
• Strong understanding of statistics, exploratory data analysis, feature engineering, model evaluation, and performance measurement.
• Experience with data-mining processes, including data preparation, data sourcing, and data scraping.
• Ability to work with messy, real-world business data and convert it into reliable analytical outputs.
• Advanced SQL and relational database skills, including data modeling, transformations, joins, query optimization, and data validation.
• Experience creating dashboards, reports, and visualizations using Power BI
  , Tableau
  , Matplotlib
  , Seaborn
  , Plotly
  , or comparable tools.
• Experience working with large, complex, distributed…