Sr. Data Scientist, PlanIT Group LLC, Washington, DC
PlanIT Group LLC -
N/A
Washington, DC,
US
N/A
Sr. Data Scientist
Date Posted: 2024-06-01
Job description
Opening for a Senior Data Scientist. Position will apply a wide set of statistical, programming and/or engineering disciplines for planning, design, analysis, and specification development for systems and databases to support end user analysis. Responsible for recommendations of platform, end user AI/Client tools, design, quality assurance, and performance standards. Determines benefit of tradeoffs in recommended options in the areas of: design cloud-based data repositories across domains that are discoverable, enabling publish subscribe approaches servicing various consumers across the DoD. These repositories contain data that consists of structured and unstructured data and where possible, this data will be meta tagged for further analytics and as well as fusion purposes. Our program will also propose machine learning and further enhanced artificial intelligence (AI) algorithms to provide previously unrealized military utility in decision aides.
Responsibilities:
Expert technical analysis support as the Senior Data Scientist
Authors concept papers and technical proposals in response to acquisition requests
Leads solutions for complex data sets across multiple security levels
Expert with the manipulation of unstructured data in a data analytics environment
Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization
Possess advanced ability to use/code in a language applicable to the project or task order such as Apache Hadoop, Python, and advanced knowledge of machine learning
Leads related planning activities. Proposes data integration solutions for lead DoD planners and executes upon approval
Guides team to create state of the art solutions across developmental categories
Collaborates within to translate and deliver commercial solutions to meet DoD use case demands
Coordinates within to evolve commercial solutions to meet unique DoD requirements
Collaborates with industry partners to broaden reach and, when necessary, leverage solutions to deliver the best available solutions for DoD
Leads designs development methods, processes, and systems to consolidate and analyze data, both structured and unstructured, and its sources, including big data
Expert with developing software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets
Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing
Works with cross-discipline teams to ensure connectivity between various databases and systems
Expert in continual process improvement activities include data, processes, interfaces, technology insertion
Skilled in defining specific process improvement projects, identifies meaningful insights, interprets, and communicates findings and makes recommendations including process improvement opportunities
Leads the development of information tools, algorithms, and dashboards
Advanced awareness of emerging analytics and big-data technologie
Required:
10 or more years of prior relevant experience
Master's degree in computer science or engineering
Experience in a data analytics, open-source tools, cloud computing, machine learning and data visualization
Advance ability to use/code in a language applicable to the project or task order
Expert understanding of Client techniques & algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
Advanced experience with data science toolkits, such as R, Weka, NumPy, Apache Hadoop, Python, MatLab
Skilled experience analyzing and manipulating data sets to understand patterns and provide insights
Expert experience using data visualization and reporting tools such as Tableau, MicroStrategy, Looker, Domo
Advanced statistical and data analysis/modeling experience (e.g. significance testing, regression modeling)
Skilled experience with data visualization tools, such as D3.js, GGplot
Advanced proficiency in using query languages such as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good scripting and programming skills
Excellent applied statistics skills, such as distributions, statistical testing, regression
Advanced experience with machine learning techniques
Proven excellence at formulating, understanding, and solving complex, non-routine quantitative problems
Aptitude for learning new theory and new technology
Strong written and verbal communication skills
Hands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools or models
Ability to work and support a highly interactive, collaborative, fluid environment
Desired :
Ability to work independently to achieve day-to-day objectives with significant impact on operational results
Record of supporting teams to develop technical solutions requiring collaboration with internal experts, deep analyses, and understanding of impact on end-product/solution
Strong written and verbal communication skills
Previous experience with Department of Defense innovation initiatives and organizations (DARPA/AFRL/AFWERX/KESSEL RUN)