Location: JBSA Lackland (Situational telework)
Clearance: TS/SCI
Education: MA/MS (or a BA/BS plus an additional 4 years of work-related experience)
Outcomes:

The successful candidate is expected to accomplish the following outcomes during the first year in the position:

• Formally track all tasks, to include: assigned by, suspense, status, and comments on all assigned tasks through completion and be prepared to brief upon request.
• Develop digital continuity folders and files that include standard operating procedures, workflows and POC lists to accomplish all tasks.
• Create 2-3 products beyond the client’s requirements that positively impact the client to either increase efficiency, effectiveness, or innovation.
• Master position tasks within 60 days and exceed requirements within 90 days.

Responsibilities:
The Data Scientist will be supporting Department of Air Force Counter Insider Threat (DAF C In T), an organization that will be developing and integrating forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving. The Data Scientist supports the production and the continued advancement of data analytical processes and techniques within the operational and technical aspects of the DAF C In T programs, policies and concepts.

The successful candidate is someone who creatively approaches a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and work collaboratively with other scientists, engineers, and analysts in a collaborative, dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field. Per PWS labor category for Data Scientist, p. 75 and PWS section 1.3.10.11, Consulting Support, specific responsibilities include, but are not limited to:

• Analyze complex datasets using statistical and machine learning techniques to extract insights and patterns.
• Develop predictive models for forecasting, anomaly detection, and risk assessment.
• Collaborate with SMEs to understand domain-specific data and requirements for analysis.
• Implement data mining and exploratory data analysis techniques to uncover hidden trends and correlations.
• Perform data cleansing and preprocessing to ensure data quality and integrity.
• Create data visualizations and interactive dashboards to present findings and insights.
• Apply natural language processing (NLP) techniques for unstructured data analysis and text mining.
• Develop algorithms for pattern recognition, clustering, and classification of data.
• Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling.
• Ensure compliance with data privacy, security and ethical guidelines in data analysis and model development.
• Collaborate with data engineers to access, integrate and preprocess data for analysis purposes.
• Provide expertise in advanced analytics and data science techniques to support decision-making and mission-critical operations. Staying current with the latest developments in data science, machine learning, and artificial intelligence to apply innovative approaches to data analysis.
• Conduct sector, industry, and company-level primary research leveraging business intelligence tools to uncover and evaluate industry trends.
• Assist in development and authoring of research reports;
• Leverage clear analytic judgment to deliberately interact with USG stakeholders, corporate entities, investors, and industry associations to generate reports and Air Force insights.

Qualifications:

The candidate must have the following qualifications:

• Minimum of ten (10) years of work-related experience.
• Of those 10 years, six (6) years of work-related experience supporting a component of the DoD.
• Development experience in mid-level languages, like Java, C++, Python, or SQL
• Proficiency in Python.
• Experience with Spark, DataBricks, and Structured Query Language (SQL)
• Experience in Data wrangling, Machine Learning, Data Visualization, Database Management, Cloud Computing, and Data Governance.
• Experience documenting decision charts, processes, and standard operating procedures
• Experience building briefings and materials and presenting at varying levels of leadership, peers, and program stakeholders.
• Experience in analyzing large datasets, developing predictive models, and creating data driven solutions for decision making.
• Experience analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns.
• Experience developing forecasts, anomaly detection and risk assessments.
• Excellent written and verbal communications.
• Expert and stakeholder collaboration,, management, and briefings.
• Advanced ability to evaluate and synthesize multiple sources of information to creatively inform decision options that consider various outcomes; demonstrate the ability to combine diverse ideas, problem sets, solutions, and outcomes into a singular storyline that can inform and be absorbed by experts and novices alike.

• Analyze complex datasets using statistical and machine learning techniques to extract insights and patterns.
• Develop predictive models for forecasting, anomaly detection, and risk assessment.
• Collaborate with SMEs to understand domain-specific data and requirements for analysis.
• Implement data mining and exploratory data analysis techniques to uncover hidden trends and correlations.
• Perform data cleansing and preprocessing to ensure data quality and integrity.
• Create data visualizations and interactive dashboards to present findings and insights.
• Apply natural language processing (NLP) techniques for unstructured data analysis and text mining.
• Develop algorithms for pattern recognition, clustering, and classification of data.
• Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling.
• Ensure compliance with data privacy, security and ethical guidelines in data analysis and model development.
• Collaborate with data engineers to access, integrate and preprocess data for analysis purposes.
• Provide expertise in advanced analytics and data science techniques to support decision-making and mission-critical operations. Staying current with the latest developments in data science, machine learning, and artificial intelligence to apply innovative approaches to data analysis.
• Conduct sector, industry, and company-level primary research leveraging business intelligence tools to uncover and evaluate industry trends.
• Assist in development and authoring of research reports;
• Leverage clear analytic judgment to deliberately interact with USG stakeholders, corporate entities, investors, and industry associations to generate reports and Air Force insights