Job Description

Data Scientist, Intermediate

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

Department Summary:

Systems modeling and analysisis a crucial process in systems engineering that involves creating and integrating abstract models of complex systems to understand, analyze, and predict system behaviors under various conditions. It is fundamental in designing and improving systems across diverse domains, including engineering, software development, business process management, data management, and environmental studies. At MITRE, we leverage our deep multi-disciplinary engineering expertise to create and integrate abstract models of complex mission scenarios and systems to understand, analyze, and predict operational and functional behaviors under various conditions. These models can then be used to highlight critical gaps between mission needs and system performance, improving our sponsor decision making process. We advocate for and use a digital engineering approach to educate our sponsors about the benefits and importance of digital adoption to enhance the access, management, analysis, and distribution of critical engineering information from a common set of digital engineering artifacts over the course of the mission and/or systems life cycle.

Roles and Responsibilities:

• Working with MITRE experts to provide actionable insights and recommendations based on data analysis to support decision-making
• Supporting project teams creating deliverables for MITRE sponsors.
• Generating data driven solutions, artifacts, dashboards, data visualizations, models and analytics for use internal to MITRE and our sponsors.
• Assist our MITRE experts with Data Science knowledge management, research and other efforts to grow our body of knowledge in the Data Science capability disciplines.

Basic Qualifications:

• Typically requires a bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent combination of related education and work experience.
• Bachelor’s in data science, computer science, operations research, or related disciplines.
• Experience in data collection, preparation and developing predictive models.
• Ability to analyze and visualize data to identify patterns, trends and relationships.
• Experience using Python, R, Tableau, PowerBI, C, SQL and other data science tools .
• Proficiency in MS Office including Outlook, Excel, and Word.
• Excellent interpersonal, collaboration and communication skills for engagements with sponsors, MITRE staff and other stakeholders.
• Must be able to obtain a SECRET clearance.
• Willingness and ability to obtain and maintain a TS/SCI Poly level security clearance; if necessary.
• This position requires a minimum of 50% on-site.

Preferred Qualifications:

• 5 or more years of experience in data science, computer science, operations research, or related disciplines.
• Experience in all aspects for data science: Problem definition and understanding, data collection and preparation, exploratory data analysis, data modeling, visualization and data management.
• Advance skills in Python libraries like Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, etc.
• Proficiency in statistical modeling, data visualization with packages such as ggplot2
• Advance skills in data management and visualization using Tableau, Power BI or SQL.
• Experience with big data technologies and tools like Hadoop, Spark, or other big data frameworks
• Advanced knowledge of statistical methods, machine learning algorithms, and deep learning techniques.

This requisition requires the candidate to have a minimum of the following clearance(s):

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Salary compensation range and midpoint:

Work Location Type:

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