What You'll Be Owning:

We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets.

What You Must Have: 

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
• Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.
• Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.
• Experience in data mining, database manipulation, and maintaining structured analytic datasets.
• Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.
• Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.)
• Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.
• Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis.
• Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.
• Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.
• Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management.
• GEOINT / Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events.
• Conduct multi-INT research to augment imagery analysis and provide mission-specific context.
• Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems.
• Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.
• Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.

What Would Be Nice to Have:

• Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.
• Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.
• Experience supporting DoD and IC report production, briefings, and formal analytic publications.
• Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.
• Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights.
• Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.
• Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies.
• Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks.
• Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.
• An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
• An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
• An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

#LI-GM1

Position Title: Instructional Assistant, Data Engineering

Department: National Training Team / Remote Training

Reports To: Manager, Remote Training

Employment Type: Contract

Location: Tampa, FL 

WHO WE ARE

Per Scholas Inc. is a national nonprofit advancing economic mobility for 30 years. Through rigorous technical training, professional development, and strong employer partnerships, we prepare individuals traditionally underrepresented in tech for high-growth careers. With campuses in 17 cities and over 15,000 graduates, we’re building a more diverse and inclusive tech workforce by connecting talent to opportunity.

WHAT YOU WILL DO

As an Instructional Assistant (IA), you are the critical bridge between the Lead Instructor and the learners. You will support the delivery of a rigorous Data Engineering curriculum while ensuring student success through tutoring, grading, and classroom management.

Instructional Support & Tutoring

• Lab Facilitation: actively circulate (virtually or physically) during hands-on labs to help learners troubleshoot code in Python, SQL, and Linux environments.
• Targeted Tutoring: Lead instructor-approved study groups and provide one-on-one tutoring for learners struggling with specific concepts (e.g., ETL pipelines, DataFrames).
• Substitute Teaching: Be prepared to step in and lead a lesson, review session, or proctor an exam in the event of a short-term instructor absence.
• AI Integration: Model the use of Google Gemini to help students debug their own code, ensuring they understand the logic rather than just copying answers.

Learner Management & Administration

• Progress Tracking: Implement individualized study plans for at-risk learners and collaborate with the detailed learner progress reviews.
• Administrative Duties: Take and track daily attendance and enter real-time grades in Salesforce and Canvas.
• Platform Management: Assist in setting up HackerRank assessments and tracking completion of Coursera modules (Google Data Analytics Certificate).
• Classroom Decorum: Enforce and model professional standards, including dress code, punctuality, and respectful communication.
• Equipment: Ensure any classroom or borrowed equipment is used properly and returned/stored (if applicable).

WHAT YOU’LL BRING TO US

Education & Experience (Must meet one of the following)

• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
• OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.

Technical Must-Haves

• Python Proficiency: Strong functional knowledge of Python. You must be able to troubleshoot logic errors in Pandas, NumPy, and basic scripts.
• SQL Mastery: Ability to write and explain intermediate queries (Joins, Aggregations, Subqueries) and troubleshoot database connection issues.
• Linux Fundamentals: Comfortable with CLI navigation, file management, and basic permissions.
• AI Adaptability: Proficiency in using Google Gemini (or ChatGPT) as a teaching aid and productivity tool.

Technical Good-to-Haves

• Cloud Exposure: Familiarity with AWS services (S3, RDS) or the AWS Cloud Practitioner certification.
• Visualization: Experience creating dashboards in Tableau or PowerBI.
• Big Data: Conceptual understanding of Apache Spark or Hadoop ecosystems.

TECHNICAL ENVIRONMENT

You will need to support learners on the following platforms and tools:

• Coding: VS Code, Jupyter Notebooks, Google Colab.
• LMS & CRM: Canvas, Salesforce.
• Assessment: HackerRank, Coursera.
• Communication: Zoom, Slack.

PERSONAL CHARACTERISTICS

• Agile: You thrive in a fast-paced environment and can adapt quickly to changes in the schedule or curriculum.
• Proactive: You anticipate student struggles and intervene early before they fall behind.
• Collaborative: You work seamlessly with the Lead Instructor, acting as a unified teaching team.

Mission-Driven: You are passionate about creating access to high-growth tech careers for diverse communities.

The hourly rate for this position is $20/hour 

#LI-Onsite