Data Scientist

Company Overview:
Avantus Federal, a NewSpring Holdings Company, is a mission-focused data, cyber and space services and solutions company. As a mid-market powerhouse with an intentional blend of elite talent, infrastructure and speed to impact, Avantus leads with technical and domain expertise for its Defense, Intelligence, Homeland Security and Federal Civilian customers.

Helping to solve some of the toughest national security problems and government missions, Avantus’ offerings enable services at scale, including: cyber technologies and operations, data and software solutions, digital engineering and integration, intelligence analysis and operations, transformation and advisory services and more.

Position Overview:
Avantus Federal Systems has an immediate opening for a Sr. Data Scientist supporting our Government Client in Wiesbaden, Germany

**Responsibilities**:
The Data Scientist shall:

- Contractor shall develop and refine data sets to achieve stakeholder goals and objectives as requested.
- Work with intelligence analysts to interpret analytic results and refine analysis as needed.
- Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.
- Coordinate with Data Analysts to refine and implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy to ensure the model deployment and maintenance is taken into consideration for the lifecycle of the model.
- Collaborate with Intelligence Analysts to understand needs and devise possible solutions.
- Conduct technical reviews and develop appropriate materials to training system users and Instructors in preparation of operational deployments.
- Assess training requirements based on current system and functional baseline. Develop training artifacts in support of operations including Standard Operating Procedures (SOPs), and Tactics, Techniques and Procedures (TTPs).

Required Qualifications:
Minimum Qualifications:

- MS in Data Science, Statistics, Applied Math, or related field
PLUS at least 6 years of experience as member of data science team with at least a portion of the experience within the last 2 years leading data science projects.
OR
- Bachelor’s degree related to the labor category and an additional 8 years of related senior experience, for a total of 12 years, as a substitute to the Master’s degree.
- Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets.
- Documented proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Documented proficiency with common data science libraries.
- Demonstrated proficiency visualizing/presenting data for stakeholders.
- Documented proficiency with MS Office tools including Excel, PowerPoint, and Word.
- Demonstrated proficiency with Amazon Web Services (AWS), in particular products related to: analytics, compute, database, developer tools, and machine learning.
- Skilled data wrangler.
- Experience with database solutions including SQL, NoSQL (e.g. MongoDB) and graph (e.g. Neo4j).
- Experience with data visualization tools, such as D3.js, ggplot, Bokeh, etc.
- Successful Completion of Pre-Employment Background Investigation required
- CI Polygraph may be required depending on location
- Current TS/SCI clearance #Avantusclearedjob

Preferred Qualifications:

- MS in Data Science, Statistics, Applied Math, or related field. Two years leading data science projects is desired.
- Five years intelligence analysis experience is desired (MOS 35/350 series or other DoD/IC equivalent).

Company EEO Statement: