Sr. Data Scientist - PlanIT Group

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)