Data Scientist, PhD

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No work authorization, sponsorship, or visa (F1, OPT, CPT, or other)

ALEX – Alternative Experts is seeking a full-time on-site PhD Data Scientist who will play a significant role on a team in adapting advanced AI/ML tools to discover training trendsand create courses of action to resolve or reinforce these trends throughout the service enterprise.

The Data Scientist, mentored by ALEX’s Chief Data Scientist, will serve in a collaborative role with the military client’s Operations Research and System Analysis (ORSA) team, the assigned ALEX Performance Management (PfM) Analysts, and the assigned military Database Managers. The assigned Data Scientist will coordinate and facilitate the planning, development, testing, and deployment of readiness-related predictive analytic models and associated deliverables required by the ALEX military client.

This is an on-site M-F position in a modern office environment in Quantico, VA. Travel requirements will be limited, mostly being very local on the military base or in the National Capitol Region.

The on-site team, to include the assigned Data Scientist will execute five (5) tasks related to service training performance management (1) gather and mine data, (2) analyze data, (3) identify corrective actions, (4) provide feedback (to stakeholders), and (5) use innovative, thorough data science-supported analysis of enterprise-wide data sets. The Data Scientist will be the core team member to guide pipeline design and implementation, recommend optimal military databases, and facilitate access to models and tools to drive impactful analytic results.

More specifically, the following skills and experience are required.

• Experience in statistical computing languages, such as Python, ,R and others (SQL, MATLAB, SAS).
• Advanced programming skills in these computing languages and proficient in the following:
  • Expert in statistical concepts (hypothesis testing, regression analysis, probability distributions, etc.
  • Proficient with supervised and unsupervised ML algorithms, including decision trees, neural networks, and clustering techniques.
  • Technical skills to extract, manipulate, and manage large datasets from various databases.
  • Ability to clearly communicate complex technical findings to both technical and non-technical audiences.
  • Capable of interpreting results and translating data insights into actionable recommendations used in building strategies and decision-making.
• Must have or be able to obtain a SECRET clearance.
• Data Scientist is expected to be proficient in working with the Agile Sprint methodology for software development, as it is aligned with the customer’s requirements.

• PhD with a Data Science focus and/or a background in Natural Language Processing or a closely related field.