Data Scientist/Analytics Engineer

Trideum Corporation • Huntsville, AL

2d • Onsite

About The Position

The Analytics Engineer will play a pivotal role in establishing data-driven decision-making and supporting operational evaluations in support of the US Army Operational Evaluation Command. This position focuses on translating complex data into actional insights that enable a diverse set of stakeholders to maintain awareness, ensure quality, gain insights, and provide direction during all phases during the evaluation of US Army equipment. The Analytics Engineer will design, build, and maintain the analytical tools, dashboards, and data pipelines necessary to support all aspects of the evaluation process. As a core member of the data and analytics team, you will be responsible for creating real-time decision support systems that provide granular visibility into the design, planning, preparation, execution, and assessment of US Army equipment to ensure that the equipment meets the needs of warfighters. You will work closely with other data scientists, operations research analysts, and engineers to ensure that all data is traceable from source to solution. This role is essential for equipping multiple stakeholders with the tools necessary to conduct operational tests and evaluations. This role is located in Huntsville, AL.

Requirements

• Bachelor’s Degree from an accredited school in a technical discipline (data science, engineering, mathematics, science, computer science).
• Position requires five or more years of related professional experience.
• Active DoD Secret Clearance or U.S. citizenship and the ability to obtain/maintain a DoD Secret Clearance is required.
• Strong data science, data analytics, and/or data engineering background and thorough knowledge of statistics and mathematics.
• Expertise in data analysis and visualization using languages like Python, R, and SQL.
• Experience with data visualization software like Tableau, Power BI, or Qlik.
• Experience with data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.
• Demonstrated ability to solve technical and operational problems independently within a team setting.
• Excellent written and oral communication skills.
• Familiarity with DoD systems and processes.

Nice To Haves

• Master’s Degree from an accredited school in a technical discipline (data science, engineering, mathematics, science, computer science).
• Background in developmental or operational testing.
• Experience with data modeling, ETL, and similar data engineering processes.
• Experience with Agile processes and solutions like GitLab or Jira.
• Experience with version control software like Git.
• Experience in project management and team leadership.
• Experience using cloud platforms (e.g., Azure, AWS) for data analytics and reporting.
• Knowledge of military or defense data systems (e.g., DAVE, PRMT, GFEBS, and ARES).

Responsibilities

• Develop and maintain executive- to engineering-level decision support products, including operational dashboards and artificial intelligence (AI) pipelines.
• Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of operational tests and evaluations.
• Ensure strict data traceability from source data and assumptions through analyses to final evaluation.
• Work closely with customers and mission partners to define requirements and shape solutions.
• Identify data sources, engineer data pipelines, and develop data storage solutions to meet customer requirements.
• Communicate technical findings and recommendations to technical and non-technical audiences, including senior leadership.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Medical, dental, vision, life, disability, and 401k matching.
• Paid leave and the ability to cash out leave.
• Free access to certified financial planners, wellness and support services, and discount programs.
• Education assistance and professional development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level