Senior Data Scientist

DataJobs; Fort Worth (TX); Hybrid; USD 103,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Stock purchase program

Deferred compensation plan

Unlimited PPTO

Job summary

DataJobs is seeking a Senior Data Scientist for Federal clients in Fort Worth, TX. This hybrid role sits in the Advisory Solutions Group and involves leading predictive modeling, ML, and analytics initiatives across asset management and sales domains.

Responsibilities include building scalable data models, dashboards, and data pipelines while mentoring junior staff and collaborating with consulting teams. Strong Python, SQL, and cloud experience are required.

Qualifications

• Typically 5+ years of experience in data science, advanced analytics, or related fields.

Responsibilities

• Lead predictive modeling and ML solutions for business systems and asset management.
• Apply regression, classification, segmentation, forecasting, clustering techniques.
• Explore, clean, transform, and analyze structured/unstructured data from multiple sources.
• Build repeatable data-mining processes from sourcing to evaluation.
• Develop, optimize, and maintain data models, dashboards, and reports.
• Design data pipelines, APIs, data integrations, and analytical workflows.
• Mentor mid and junior analysts and data scientists.

Skills

Python

SQL

Data storytelling

Mentoring

Client-facing

Education

Bachelor’s or Master’s degree in Data Analytics/DS/CS/Statistics/Math/Engineering

Tools

Python

Pandas

NumPy

scikit-learn

SciPy

Matplotlib

Seaborn

Plotly

Power BI

Tableau

SQL

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