Clearance Required:TS/SCI with Full Scope Poly Relocation assistance:NoVisa sponsorship eligibility:NoA Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.Position Responsibilities:A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Masters Degree 5 years of experience, or PhD 2 years of experience Required Skills:Programming experience with data analysis software such as R, Python, SAS, or MATLAB.Develop experiments to collect data or models to simulate data when required data are unavailable.Develop feature vectors for input into machine learning algorithms.Identify the most appropriate algorithm for a given dataset and tune input and model parameters.Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).Oversee the development of individual analytic efforts and guide team in analytic development process.Guide analytic development toward solutions that can scale to large datasets.Partner with software engineers and cloud developers to develop production analytics.Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.Continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

Position:Data Engineer Location: Suitland, MD Clearance: TS/SCI Job Description: Mission Essential is seeking a Data Engineer and a successful candidate will perform the following requirements and tasks: •Research opportunities for data acquisition and new uses for existing data and collaborate with respective government POCs to frame open-ended analytical questions, identify weaknesses, develop solutions, and determine trends and/or opportunities. •Design, construct, install, test and maintain highly scalable data management systems, to include recommendations for improving data reliability, efficiency, and quality in context of meeting customer expectation and delivery timelines. •Integrate new data management technologies and software engineering tools into existing structures and architectures including but not limited to cloud-based data processing and storage. •Collaborate with ONI Inf o rmation Technology Enterprise and the Command Information Office (CIO) on implementing and updating disaster recovery procedures for GEOINT data. •Develop data set processes for data modeling, mining, production, and proof of concept initiatives. •Employ a variety of scripting languages to develop integrated systems for data management, accessibility, and warehousing . •Contribute to the design of new product features by articulating current and anticipated customer needs and by weighting design trade-offs. •May accompany ONI personnel to community GEOINT related conferences and meetings in order to gain insight and understanding of the latest military and civil sector GEOINT techniques and technologies under development. As required, the contractor also may travel to ashore and afloat naval and joint service commands, GEOINT-related trade shows and conferences to become familiar with special projects, exercises, and analytic methods. (The contractor is not permitted to represent ONI to the community during any conference or meeting. If ONI personnel are not available, the contractor shall act only in an advisory role on GEOINT technologies, techniques, applications, and methodologies and gather facts during the meeting or conference.) REQUIREMENTS Qualifications: •Bachelor's degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science, Engineering or Geographic Information Systems (GIS) •Three years of practical work experience with data technologies to include but not limited to one or more (exact, similar, or equivalent software) of the following: oSpark oScala oHive oHadoop •Three years of practical experience developing scripts, APls, and/or programs using but not limited to one or more (exact, similar, or equivalent software) of the following: oJava oShell oPerl oPython oC++ •Three years of practical work experience building data pipelines, stream processing •One-yearpractical work experience with geospatial data and/or imagery data •Two years of experience writing technical analysis reports •Demonstrated problem-solving skills •Demonstrated presentation skills, including but not limited to presenting at professional or academic conferences #CJ

Locations: VA - McLean, United States of America, McLean, VirginiaData Engineer ManagerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you''ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You''ll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications: Bachelor''s Degree At least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 2 years of people management experiencePreferred Qualifications:7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: VA - McLean, United States of America, McLean, VirginiaData Engineer ManagerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you''ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You''ll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications: Bachelor''s Degree At least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 2 years of people management experiencePreferred Qualifications:7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Engineer Jobs in Suitland, MD

Data Data Engineer
December 16, 2024

Data Engineer
December 3, 2024

Data Engineer Manager
December 3, 2024

Data Engineer Manager
December 1, 2024

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Data Engineer Jobs in Suitland, MD

Data Data EngineerDecember 16, 2024

Data EngineerDecember 3, 2024

Data Engineer ManagerDecember 3, 2024