Senior Data Scientist - Federal Analytics Lead (Hybrid)

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

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.