Data Scientist - Experienced to Expert Level (Maryland)

About the role

NSA Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. They employ their mathematical science, computer science, and quantitative analysis skills to develop solutions to complex data problems and take full advantage of NSA's capabilities to tackle the highest priority foreign intelligence and cybersecurity challenges.

Responsibilities

• Exploring data analysis and model-fitting to reveal data features of interest
• Using the machine-learned predictive modeling
• Constructing usable data sets from multiple sources to meet customer needs
• Identifying and analyzing anomalous data (including metadata)
• Developing conceptual design and models to address mission requirements
• Developing qualitative and quantitative methods for characterizing datasets in various states
• Performing analytic modeling, scripting, and/or programming
• Working collaboratively and iteratively throughout the data-science lifecycle
• Designing and developing analytics and techniques for analysis
• Analyzing data using mathematical and statistical methods
• Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership
• Creating interpretable visualizations

Qualifications

• The qualifications listed are the minimum acceptable to be considered for the position.
• Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work.
• Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position.
• Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad.
• Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application.
• Unofficial transcripts are fine at this stage.
• Note that different degree fields have different requirements as described below.

Skills

• Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, and data engineering.
• Experience must also include formal or informal leadership.

Benefits

NSA offers a comprehensive benefits package including salary offers based on candidates' education level and years of experience relevant to the position. Salary range varies by location, work level, and relevant experience to the position. Training will be provided based on the selectee's needs and experience.

Pay

Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Salary Range: $132,751 - $197,200 (Senior, Expert).

Schedule

This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).

Application Instructions

Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications.