Data Scientist Development Program (DSDP) Entry to Expert Level (MD)
Job Location:
Fort Meade, MD - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Data science is present in every aspect of NSAs mission to protect the nation. By joining our team you will tackle challenging problems by leveraging big data high-performance computing machine learning and more. We are looking for senior-level data scientists who believe that answers to hard questions lie in the yet-to-be-told story of diverse complicated data sets. You will develop solutions for complex data problems taking full advantage of NSAs capabilities to tackle the priority.
Data science at NSA uses elements of mathematics statistics computer science and application-specific knowledge to gather make and communicate principled conclusions from data. It encompasses AI engineering data engineering ML Ops engineering and human perception and cognition engineering in addition to traditional applications of data science.
Responsibilities may include:
- Exploring data analysis and model-fitting to reveal data features of interest
- Using 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
- All applicants and employees are subject to random drug testing in accordance with Executive Order 12564.
The qualifications listed are the minimum acceptable to be considered for the position.
ENTRY
Entry is with an Associates degree plus 2 years of relevant experience or a Bachelors degree and no experience or a Masters degree and no experience. Relevant experience must be in 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 or data engineering.
FULL PERFORMANCE
Entry is with an Associates degree plus 5 years of relevant experience or a Bachelors degree plus 3 years of relevant experience or a Masters degree plus 1 year of relevant experience or a Doctoral degree and no experience. 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 technical writing data visualization or data engineering.
SENIOR
Entry is with an Associates degree plus 8 years of relevant experience or a Bachelors degree plus 6 years of relevant experience or a Masters degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. 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 technical writing data visualization or data engineering. Experience must also include formal or informal leadership.
EXPERT
Entry is with an Associates degree plus 11 years of relevant experience or a Bachelors degree plus 9 years of relevant experience or a Masters degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. 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 technical writing data visualization or data engineering. Experience must also include formal or informal leadership.
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.
Degrees in Mathematics Applied Mathematics Statistics Applied Statistics Data Science Operations Research Quantitative/Computational Finance Econometrics/Quantitative Economics Computer Science or Computer Engineering qualify without additional coursework requirements.
Degrees in Engineering Physical Sciences Mathematical Biology/Bioinformatics Life Sciences Environmental Science Data Analytics or Information Science/Systems/Technology must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example calculus differential equations discrete mathematics linear algebra and calculus-based statistics) and/or advanced computer science (for example algorithms programming data structures data mining artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university and must include 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example calculus differential equations discrete mathematics linear algebra and calculus-based statistics). At least one course must be from advanced computer science (for example algorithms programming data structures computer architecture data mining artificial intelligence).
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: $87362 - $197200 (Entry/Developmental Full Performance Senior Expert)
Salary range varies by location work level and relevant experience to the position.
Training will be provided based on the selectees needs and experience.
Benefits: NSA offers a comprehensive benefits package.
Work 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).
Candidates should be committed to improving the efficiency of the Federal government passionate about the ideals of our American republic and committed to upholding the rule of law and the United States Constitution.
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
Required Experience:
IC
