Sr. Data Scientist

T3W Business Solutions, Inc. is a Woman-Owned Small Business with Headquarters located in San Diego, CA. It is our mission to help our clients develop strategies to optimize their use of space and resources resulting in maximum benefits; we also deliver quality data and analysis to support our client’s daily facility operations, planning, and compliance programs. We are looking for a Sr. Data Scientist in San Diego, California.

**Contingent Upon Contract Award**

Summary

Builds advanced analytics, machine learning models, forecasting tools, and data products to support FRCSW strategic and operational decisions. Analyzes large structured/unstructured datasets, constructs pipelines, and develops dashboards visualizing key performance indicators. Leads data standardization, modeling, statistical analysis, and automation initiatives. Guides team members on analytic methods and ensures alignment with enterprise data strategy.

Responsibilities

• Apply statistical modeling, machine learning, and data visualization techniques.
• Develop predictive models and dashboards using Power BI, Qlik, or Tableau.
• Analyze large structured and unstructured datasets.
• Collaborate with IT, program management, and financial teams to support data-driven decisions.
• Bachelor’s degree in Data Science, Statistics, or a related field.
• 10+ years of professional data analytics experience.
• Proficiency in Python, R, SQL, and visualization tools.
• Must possess an active Secret Clearance - Required

This contractor and subcontractor shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability.