PLANIT Group
Sr. Data Scientist
PLANIT Group, Washington, District of Columbia, us, 20022
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 ScientistAuthors concept papers and technical proposals in response to acquisition requestsLeads solutions for complex data sets across multiple security levelsExpert with the manipulation of unstructured data in a data analytics environmentSkilled with the use of open-source tools, cloud computing, machine learning, and data visualizationPossess 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 learningLeads related planning activities. Proposes data integration solutions for lead DoD planners and executes upon approvalGuides team to create state of the art solutions across developmental categoriesCollaborates within to translate and deliver commercial solutions to meet DoD use case demandsCoordinates within to evolve commercial solutions to meet unique DoD requirementsCollaborates with industry partners to broaden reach and, when necessary, leverage solutions to deliver the best available solutions for DoDLeads designs development methods, processes, and systems to consolidate and analyze data, both structured and unstructured, and its sources, including big dataExpert with developing software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasetsSkilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testingWorks with cross-discipline teams to ensure connectivity between various databases and systemsExpert in continual process improvement activities include data, processes, interfaces, technology insertionSkilled in defining specific process improvement projects, identifies meaningful insights, interprets, and communicates findings and makes recommendations including process improvement opportunitiesLeads the development of information tools, algorithms, and dashboardsAdvanced awareness of emerging analytics and big-data technologieRequired:
10 or more years of prior relevant experienceMaster's degree in computer science or engineeringExperience in a data analytics, open-source tools, cloud computing, machine learning and data visualizationAdvance ability to use/code in a language applicable to the project or task orderExpert understanding of Client techniques & algorithms, such as k-NN, Naive Bayes, SVM, Decision ForestsAdvanced experience with data science toolkits, such as R, Weka, NumPy, Apache Hadoop, Python, MatLabSkilled experience analyzing and manipulating data sets to understand patterns and provide insightsExpert experience using data visualization and reporting tools such as Tableau, MicroStrategy, Looker, DomoAdvanced statistical and data analysis/modeling experience (e.g. significance testing, regression modeling)Skilled experience with data visualization tools, such as D3.js, GGplotAdvanced proficiency in using query languages such as SQL, Hive, PigExperience with NoSQL databases, such as MongoDB, Cassandra, HBaseGood scripting and programming skillsExcellent applied statistics skills, such as distributions, statistical testing, regressionAdvanced experience with machine learning techniquesProven excellence at formulating, understanding, and solving complex, non-routine quantitative problemsAptitude for learning new theory and new technologyStrong written and verbal communication skillsHands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools or modelsAbility to work and support a highly interactive, collaborative, fluid environmentDesired
:
Ability to work independently to achieve day-to-day objectives with significant impact on operational resultsRecord of supporting teams to develop technical solutions requiring collaboration with internal experts, deep analyses, and understanding of impact on end-product/solutionStrong written and verbal communication skillsPrevious experience with Department of Defense innovation initiatives and organizations (DARPA/AFRL/AFWERX/KESSEL RUN)
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 ScientistAuthors concept papers and technical proposals in response to acquisition requestsLeads solutions for complex data sets across multiple security levelsExpert with the manipulation of unstructured data in a data analytics environmentSkilled with the use of open-source tools, cloud computing, machine learning, and data visualizationPossess 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 learningLeads related planning activities. Proposes data integration solutions for lead DoD planners and executes upon approvalGuides team to create state of the art solutions across developmental categoriesCollaborates within to translate and deliver commercial solutions to meet DoD use case demandsCoordinates within to evolve commercial solutions to meet unique DoD requirementsCollaborates with industry partners to broaden reach and, when necessary, leverage solutions to deliver the best available solutions for DoDLeads designs development methods, processes, and systems to consolidate and analyze data, both structured and unstructured, and its sources, including big dataExpert with developing software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasetsSkilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testingWorks with cross-discipline teams to ensure connectivity between various databases and systemsExpert in continual process improvement activities include data, processes, interfaces, technology insertionSkilled in defining specific process improvement projects, identifies meaningful insights, interprets, and communicates findings and makes recommendations including process improvement opportunitiesLeads the development of information tools, algorithms, and dashboardsAdvanced awareness of emerging analytics and big-data technologieRequired:
10 or more years of prior relevant experienceMaster's degree in computer science or engineeringExperience in a data analytics, open-source tools, cloud computing, machine learning and data visualizationAdvance ability to use/code in a language applicable to the project or task orderExpert understanding of Client techniques & algorithms, such as k-NN, Naive Bayes, SVM, Decision ForestsAdvanced experience with data science toolkits, such as R, Weka, NumPy, Apache Hadoop, Python, MatLabSkilled experience analyzing and manipulating data sets to understand patterns and provide insightsExpert experience using data visualization and reporting tools such as Tableau, MicroStrategy, Looker, DomoAdvanced statistical and data analysis/modeling experience (e.g. significance testing, regression modeling)Skilled experience with data visualization tools, such as D3.js, GGplotAdvanced proficiency in using query languages such as SQL, Hive, PigExperience with NoSQL databases, such as MongoDB, Cassandra, HBaseGood scripting and programming skillsExcellent applied statistics skills, such as distributions, statistical testing, regressionAdvanced experience with machine learning techniquesProven excellence at formulating, understanding, and solving complex, non-routine quantitative problemsAptitude for learning new theory and new technologyStrong written and verbal communication skillsHands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools or modelsAbility to work and support a highly interactive, collaborative, fluid environmentDesired
:
Ability to work independently to achieve day-to-day objectives with significant impact on operational resultsRecord of supporting teams to develop technical solutions requiring collaboration with internal experts, deep analyses, and understanding of impact on end-product/solutionStrong written and verbal communication skillsPrevious experience with Department of Defense innovation initiatives and organizations (DARPA/AFRL/AFWERX/KESSEL RUN)