Elder Research Inc.
Data Scientist
Elder Research Inc., Springfield, Virginia, us, 22161
Career Opportunities with Elder ResearchA great place to work.Careers At Elder ResearchCurrent job opportunities are posted here as they become available.On-site Location: Springfield, VA | On-SiteClearance:
TS/SCI with ability to successfully complete a CI-Polygraph examinationElder Research Inc. is a recognized leader in data science, machine learning and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients.As a Data Scientist, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, modeling and stunning data visualization for custom client applications.Essential Functions:Ability to work on-site for 36-40 hours during a typical weekExperience supporting the geospatial intelligence mission spaceAt least 6 years of relevant experience*
* Relevant experience includes military service, education (Associates+), specialized training, internships, apprenticeships, and professional civilian work experience. Credit is also provided for relevant professional publications, presentations, and leadership roles in related organizations.Roles and Responsibilities:Support client strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.Refine, enhance, and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government.Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes.Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available.Clearly communicate data-driven findings and automation to technical and non-technical audiences.Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.Train and integrate new tools, processes, and capabilities to be used in collection orchestration.Provide support for emerging requirements as assigned by the government.Desired Skills:Proficiency with common data science technologies such as Python, R, SQL, Git, AWS Sagemaker, and SAS.Proficiency in common data science techniques or areas such as statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, NLP.Possesses the technical skills to carry significant load on projectsKnowledge of data and model inputs and ability to use them effectivelyDemonstrates experience (moving towards mastery) of at least one tool, platform, or algorithm as part of a client deliverable, and works to develop experience in additional technologiesAble to navigate the technical collaboration environmentProficient in data science life cycle elements (ERI's modified CRISP-DM; Agile)At Elder Research, you’ll be part of a fun, friendly, and supportive community where we need each other to succeed, your point of view matters, and asking questions with a beginner’s mindset is applauded. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We are constantly learning and offer teammates free access to a wide range of learning opportunities including Elder’s own platform statistics.com and technical mentors or sponsors. Broadening and deepening your technical and consulting skills both on the job and off is something we are passionate about, and we pay you to do it.To achieve success on defense, intelligence, and security work we frequently bring together the expertise of decision-makers, analysts, agents, investigators, and even behavioral scientists. Our team enjoys great variety in the type of work they do and exposure to a wide range of analytic techniques and tools.Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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TS/SCI with ability to successfully complete a CI-Polygraph examinationElder Research Inc. is a recognized leader in data science, machine learning and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients.As a Data Scientist, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, modeling and stunning data visualization for custom client applications.Essential Functions:Ability to work on-site for 36-40 hours during a typical weekExperience supporting the geospatial intelligence mission spaceAt least 6 years of relevant experience*
* Relevant experience includes military service, education (Associates+), specialized training, internships, apprenticeships, and professional civilian work experience. Credit is also provided for relevant professional publications, presentations, and leadership roles in related organizations.Roles and Responsibilities:Support client strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.Refine, enhance, and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government.Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes.Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available.Clearly communicate data-driven findings and automation to technical and non-technical audiences.Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.Train and integrate new tools, processes, and capabilities to be used in collection orchestration.Provide support for emerging requirements as assigned by the government.Desired Skills:Proficiency with common data science technologies such as Python, R, SQL, Git, AWS Sagemaker, and SAS.Proficiency in common data science techniques or areas such as statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, NLP.Possesses the technical skills to carry significant load on projectsKnowledge of data and model inputs and ability to use them effectivelyDemonstrates experience (moving towards mastery) of at least one tool, platform, or algorithm as part of a client deliverable, and works to develop experience in additional technologiesAble to navigate the technical collaboration environmentProficient in data science life cycle elements (ERI's modified CRISP-DM; Agile)At Elder Research, you’ll be part of a fun, friendly, and supportive community where we need each other to succeed, your point of view matters, and asking questions with a beginner’s mindset is applauded. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We are constantly learning and offer teammates free access to a wide range of learning opportunities including Elder’s own platform statistics.com and technical mentors or sponsors. Broadening and deepening your technical and consulting skills both on the job and off is something we are passionate about, and we pay you to do it.To achieve success on defense, intelligence, and security work we frequently bring together the expertise of decision-makers, analysts, agents, investigators, and even behavioral scientists. Our team enjoys great variety in the type of work they do and exposure to a wide range of analytic techniques and tools.Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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