200+ applicants

Company

Original Job Post

QinetiQ US · 5 days ago

Data Scientist

Chantilly, VA

Full-time

Onsite

Entry, Mid Level

Wonder how qualified you are to the job?

Maximize your interview chances

DeliveryDrones

Insider Connection @QinetiQ US

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Working with large, complex, and disparate data sets.

Designing and implementing innovative ways to analyze and exploit the Sponsor’s data holdings, particularly Cloud-related data holdings.

Researching and reporting on a wide variety of Sponsor inquiries.

Raising proactive inquiries to the Client based on observations and proposed data analysis/exploitation.

Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies.

Developing custom searches.

Communicating and coordinating with internal and external partners as needed.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Analytic ToolsApplied MathematicsComputer ProgrammingMachine LearningAlgorithmsSQLDistributed SystemsStatistical Data AnalysisData VisualizationCloud technologiesAWSMicrosoft AzureMission environmentData managementProblem-solvingAdaptability

Required

Active TS/SCI clearance with polygraph required #qinetiqclearedjob

Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following: Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences) Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)

Ability to code or script in one or more general programming language

Experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection

Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)

Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)

Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties

Preferred

Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc

Experience working in a mission environment and/or with many different types of data

Company

QinetiQ US

Glassdoor

3.7

For over 60 years, QinetiQ US has been providing world-class technology development, engineering research and development and revolutionary products to the defense, security, and commercial markets.

Founded in 2005