01 Sep
Data Science and Analytics Engineer (MITRE National Security Accelerator Program) (Hybrid)
Massachusetts, Bedford , 01730 Bedford USA

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. MITRE’s National Security Accelerator Program (http://sites.mitre.org/national-security-accelerator-program/) is seeking highly motivated, early career candidates passionate about solving problems for a safer world. Currently hiring in the following locations: McLean, VA; Bedford, MA; Huntsville, AL; Tampa, FL; San Antonio, TX 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 Accelerator 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 Accelerator 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 QualificationsBachelor of Science and 2 years of related experience in data science, computer science, data analytics, statistics, math, or a related field of study and two years of relevant experience or an advanced degree (Masters or PhD) with relevant experience who can immediately contribute.

A bility to obtain and maintain a Top Secret clearance

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:Active Top Secret/SCI with polygraph clearance

BS and 5 years of related experience; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step

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

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):

Subject to all federal and state laws, rules and regulations, MITRE requires all employees to be fully vaccinated against COVID-19. Newly hired employees must be fully vaccinated prior to their employment start date. MITRE will provide reasonable accommodation to individuals who are legally entitled to an exemption under applicable laws so long as it does not create an undue hardship for MITRE and/or does not pose a direct threat to the health or safety of the employee or others in the workplace.

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/migratedfiles/employers/posterscreenreaderoptimized.pdf) , EEO is the Law Poster-Supplement (https://www.eeoc.gov/sites/default/files/migratedfiles/employers/eeocginasupplement.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf) .

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