Data Science and Analytics Engineer

MITRE’s National Security New Professionals Accelerator Program ( https://sites.mitre.org/newprofessionals/ ) is seeking highly motivated, early career candidates passionate about solving problems for a safer world. This program will provide unique work opportunities, onboarding, and mentoring to build your skills as a future leader. You will accelerate your career while preparing for impactful, rewarding work at MITRE. Successful candidates will gain exposure and experience in topics of common interest to the entire national security community. Our goal is to prepare you to thrive in a technically rooted, mission-focused career at MITRE – one where the unique background, skill set, and experience you bring inspires creative and innovative solutions.

You will interact with a diverse group of program peers, MITRE national security leaders, and staff solving real-world problems. Over the course of this structured six-month program, you will hone your skills and develop strong professional networks in the national security sector and across our Innovation Centers, helping solve critical national challenges. Before transitioning to MITRE’s permanent national security or technical staff, you will benefit from the following program pillars:

• An intensive, experiential onboarding program
• Focused mentoring with MITRE national security leaders and experts in your field
• An in-depth rotational work program

Job Responsibilities:

Working alongside MITRE mission specialists and engineers, you will be supporting national security sponsors while helping to design, develop, and implement solutions and technologies to address the data science and analytics challenges of our government sponsors. You will learn about MITRE sponsor missions and apply your technical knowledge and skills to problem-solving and innovation. At the culmination of the New Professional Program, you will become part of MITRE’s National Security team focused on sponsor missions with a strong technical background enabling you to be a future leader in the company.

From high performance computing to maximizing operational effectiveness and efficiency, you will learn to apply data science and analytics engineering expertise, innovative concepts, and technology solutions to address every facet of our sponsor’s data challenges to include:

• Biometrics

• Data Analytics

• Data Management

• Data Science

• Geospatial Information Sciences

What are some examples of projects I might work on?

• Kill chain analysis, intelligence data fusion, and operations analysis

• Visualizations and interpretation of large data sets using Tableau

• Toolkit for neural topic modeling and variational autoencoders

• Evaluation of modern deep reinforcement learning algorithms to develop scenarios that require multi-agent cooperation

• Machine Learning techniques for radio frequency signals based on big data analytics of RF spectrum

What does an ideal MITRE New Professional Data Scientist have?

• Hands-on experience gained from previous work experience or relevant intern/co-op work

• Applied knowledge of data science and analytics principles, tools, and devices

• Proficiency in a range of techniques and languages for performing data analysis at scale

• Interdisciplinary background with at least of one of those disciplines being data science, computer science, or a related field

• Evidence of being a life-long learner, with a passion for the field

• High-level desire to help our nation solve critical problems

Required Qualifications

• Bachelor of Science in data science, computer science, data analytics, statistics, math, or a related field of study and two years of relevant experience

• Proficiency in one or more of the following: Python (scikit-learn, numpy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; Database design & development (SQL, Neo4J, MongoDB); AWS (Sagemaker, S3)

Preferred Qualifications :

• 1-3 years of experience in data science principles, tools, and devices

• Experience working projects related to national security for one or more government agencies

• Interdisciplinary background, with evidence of continual learning

• Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting

• Hands on proficiency using data science techniques, including machine learning, deep learning, statistical modeling, and data visualization

• Ability to find patterns in data and clearly articulate the entire analysis (i.e., methodology, results, assumptions, constraints) using various suites of tools

• Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines)

• Experience developing interactive data visualizations using open-source web technologies (Angular, Vue, React, D3.js) or other frameworks (Shiny, Plotly, Dash)

• Experience developing data-intensive full stack containerized web applications using Node.js, Flask, Django, or other technologies

• Familiarity with working in cloud-based environments like Amazon Web Services, Google Cloud, or Microsoft Azure

• Experience working with big data analytic environments including Apache Spark, Presto, Impala, or other distributed SQL engines