Data Science

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Department Summary:

Our team architects, implements, and operates enterprise data systems, software products, and enabling engineering platforms. We have a diverse, highly technical, and motivated team that embraces self-direction and empowerment toward our goal of delivering powerful and sustainable software for the enterprise. Having experts in a wide variety of domains (software architecture, big data & cloud computing, aviation domain, etc.), we rely on cross-functional collaboration to promote organizational learning and quality.

Roles & Responsibilities:

• Develop, maintain, and monitor data analytics that produce high quality data
• Analyze and visualize our data products to derive insights and assess data quality
• Continuously improve the codebase and our development/deployment processes
• Consult with analysts and data consumers to ensure their needs are met
• Collaborate with peers during sprint planning, technical discussions, and code reviews
• Write clean and testable code that works consistently, both locally and on the compute cluster
• Share your experiences with other MITRE teams and external audiences
• Mentor the team and grow those around you
• Shape work and lead the execution of tasks and projects

Basic Qualifications:

• Typically requires a minimum of 10 years of related experience with a Bachelor's degree(Computer Science, Data Science, or other physical science/engineering fields); or 3 years and a Master's degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
• Experience and/or proficiency in data science techniques, data analysis, modeling, and visualization using Python, R, and/or Clojure
• Experience and/or proficiency in software development using Java, Python, and/or other high-level programming language

• Experience and/or proficiency in working with big data, distributed systems, and/or cloud platforms (Hadoop, AWS, Spark, Kafka, etc.)
• Experience with Agile and DevOps principles and practices
• Comfortable learning new languages and concepts
• Creative problem solvers and risk takers
• Ability to collaborate effectively with teammates, technical partners, and stakeholders
• Ability to obtain & maintain a US government clearance
• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• Strong understanding and expertise in one or more of CIT’s enterprise capabilities (e.g., Transportation Data Platform, Collaborative Research Environment)
• Experience in software design and implementation.
• Experience with designing and operating distributed data systems and cloud platforms
• Familiarity with Machine Learning application and delivery

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):

Work Location Type:

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