About this opportunity
DataJobs lists this Senior Data Scientist opportunity in fort worth, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Data Scientist role with Jacobs for Federal clients in Fort Worth, TX (hybrid) under the Advisory Solutions Group, Asset Management Digital Strategies Practice.
Responsibilities
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 , NumPy , scikit-learn , SciPy , 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 workstreams 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.
Requirements
Typically 5+ years of experience in data science, advanced analytics, data analysis, business intelligence, or a related field.
Demonstrated experience leading analytical projects or workstreams 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 , NumPy , scikit-learn , SciPy , 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 datasets across multiple systems and sources.
Experience with data pipelines, APIs, cloud data platforms, or enterprise data integrations.
Experience in consulting or client-facing delivery environments.
Strong English communication skills for working with internal stakeholders, Federal clients, and nontechnical audiences.
Ability to translate ambiguous business questions into structured analytical approaches and practical recommendations.
Demonstrated ability to communicate technical concepts, analytical findings, assumptions, and limitations clearly.
Proven ability to manage competing priorities, meet deadlines, and maintain high-quality deliverables in a fast-paced consulting environment.
Demonstrated experience mentoring mid and junior staff and providing technical leadership in multidisciplinary teams.
Ability to travel up to 20% of the time CONUS and OCONUS , and ability to obtain a U.S. Government Common Access Card .
Must be a United States Citizen ; visa sponsorship is not available.
Technologies
Python, pandas, NumPy, scikit-learn, SciPy, Matplotlib, Seaborn, Plotly
Microsoft Azure, Palantir Foundry
SQL
Power BI, Tableau
Benefits
Medical, dental, vision, and basic life insurance
401(k) plan
Ability to purchase company stock at a discount
Eligible employees may enroll in a deferred compensation plan or the Executive Deferral Plan
Unlimited U.S. Personalized Paid Time Off (PPTO) for full-time salaried/exempt employees
Seven paid holidays
Caregiver leave
May be eligible for additional rewards including merit increases, performance discretionary bonus, and stock
Ideally, You’ll Also Have
Experience with Microsoft Azure and Azure-based data, analytics, and AI services.
Hands-on experience with Palantir Foundry, including data integration, ontology development, analytical workflows, model deployment, or workflow automation.
Experience with PySpark, XGBoost, time-series forecasting, natural language processing, or semantic search.
Experience with cloud-based data warehouses, data lakes, and enterprise analytics platforms.
Experience supporting sales, bid, commercial, proposal, or business-performance analytics.
Knowledge of asset management frameworks, facility condition assessments, capital planning, operations and maintenance, or lifecycle cost analysis.
Experience developing reusable data products, analytical applications, APIs, or automated reporting solutions.
Experience with data visualization using Matplotlib, Seaborn, Plotly, Power BI, or Tableau.
Experience with Git, Docker, CI/CD, model deployment, or productionization of data science models.
Familiarity with Agile, Scrum, or other iterative delivery environments.
Experience with Jira, Confluence, Microsoft Teams, SharePoint, or comparable collaboration tools.
Professional certifications in data analytics, business intelligence, cloud platforms, project management, data science, or asset management.
Active or previous U.S. Government security clearance.
Location: Fort Worth, Texas, United States (Hybrid)
Posted Salary Range: USD 102,900 - 180,100 per year
Job ID: #45946
Industry: Cities & Places
Capabilities: Planning and Consulting
Office Setup: Hybrid
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Worksite address
fort worth, TX, 76102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.