Data Scientist L3 at T3i Inc.

San Antonio, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, R, SPSS, Predictive Modeling, Statistical Analysis, Power BI, ETL Pipelines, Data Warehousing, Machine Learning, Data Visualization, Requirements Gathering, Process Documentation, Troubleshooting, Tier 1 Clearance

Industry

Defense and Space Manufacturing

Description

Job Summary: The Data Scientist Level 3 (DS L3) supports SWTW’s Integrated Analytics effort by designing, developing, and executing data pipelines, predictive models, and visualization products that inform leadership decision-making. DS L3s serve as the technical backbone of the team, integrating operational, training, and human performance data into actionable insights. This role blends hands-on coding and modeling with direct customer engagement, ensuring analytics products are both technically sound and operationally relevant. Primary Responsibilities: * Develop and maintain Extract, Transform, and Load (ETL) pipelines to integrate multiple DoD systems of record and SWTW internal databases * Construct data warehouses and staging environments to ensure validated, decision-ready data * Apply statistical and machine learning methods to forecast outcomes (e.g., attrition, graduation, injury risk) * Develop dashboards and interactive reports in Power BI tailored to SWTW leadership needs * Collaborate with stakeholders to refine requirements, validate outputs, and ensure products support mission outcomes * Document processes, maintain reproducibility, and ensure traceability of data and model outputs * Provide technical support and troubleshooting to end users in coordination with the PM and DS L5 * Contribute to Initial Analysis, POAM development, and annual reporting cycles by providing technical input on trends, risks, and opportunities Minimum Qualifications: * Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related discipline * 4+ years of experience in data science, analytics, or related roles * Proficiency in Python, SQL, and statistical software (e.g., R, SPSS) * Demonstrated experience building predictive models and conducting advanced statistical analysis * Strong experience with business intelligence tools, particularly Power BI * Familiarity with DoD systems of record (e.g., Envision, TTMS, ADSS, MHS GENESIS) * Experience supporting AETC or SOF/AFSPECWAR programs * Ability to obtain a Tier 1 (T1) clearance Preferred Qualifications: * Familiarity with Air Education and Training Command (AETC), Special Warfare Training Wing (SWTW), and the AFSPECWAR pipeline * Experience with prominent DoD Human Performance programs * Familiarity with Palantir Envision and/or Foundry platforms * Prior military service or direct experience supporting operational units Required Background Check: HireRight background check & drug screening Type of Employment: Full-time T3i Drug Free Workplace Statement: As a Federal Government Contractor, T3i is required to strictly adhere to federally mandated drug-free workplace standards. To ensure compliance with this requirement, T3i conducts pre-employment drug screening for all new hire personnel (full time, part time, and independent contractor) and annual random drug screening for all current T3i personnel. All drug screening includes testing for the following drugs, at a minimum: Marijuana (CBD, hemp oil, and other cannabidiol use may result in a positive result), cocaine, amphetamines, opiates, 6-monoacetylmorphine, and PCP. Personnel who cannot pass drug screening are not eligible for employment with T3i.

Responsibilities

The Data Scientist L3 will design, develop, and execute data pipelines, predictive models, and visualization products to support leadership decision-making by integrating operational, training, and human performance data. Primary duties include developing ETL pipelines, constructing data warehouses, applying statistical methods for forecasting, and creating Power BI dashboards for stakeholders.