Machine Learning Operations Engineer / Data Scientist - Entry to Expert Level (Maryland, Hawaii & Colorado Locations)
National Security Agency
Fort Meade, MD
Full-time
Engineering
Posted on November 6, 2023
RESPONSIBILITIES
At NSA Data Science is a broad field, and a team effort, spanning all the expertise needed to derive value from data. As a Data Scientist specializing in Machine Learning Operations (ML Ops) Engineering, you will help deploy and maintain ML systems that keep NSA at the cutting edge of intelligence gathering and reporting, with all the high-functioning support processes that it requires. Responsibilities include: - Implementing ML pipeline and workflows - Deploying, monitoring, and maintaining ML models in production systems - Deploying ML services and applications to secure cloud platforms (e.g., AWS, Azure, GCP, IBM Cloud) - Building and deploying micro-services as part of ML/DSci applications - Building continuous integration and delivery pipelines for ML applications - Ensuring security and compliance of ML systems - Communicating with a team of data scientists, data engineers, and stakeholders; documenting the process
SKILLS
The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: - Accountable - Proactive - Detail oriented - Able to solve complex problems - Proficient with critical thinking and reasoning to make analytic determinations - Effective at working in a collaborative team environment - Able to bridge the gap with both technical and non-technical audiences Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering
PAY BENEFITS & WORK SCHEDULE
Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. This is a full-time position, hiring for the Maryland, Colorado & Hawaii locations. Salary ranges vary by work level. Salary range: $81,233 - $183,500 (Entry/Developmental, Full Performance, Senior, Expert) On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Typical work schedule is Monday - Friday, with basic 8 hr/day requirements between 0600 to 1800 (flexible).
POSITION SUMMARY
Depending on the skill-sets currently in demand, newly hired ML OPS Engineers may be assigned to a mission office, or alternatively enrolled in the three-year Data Science Development Program (DSDP) in which they will both broaden and specialize their data science skills by taking courses and touring with a variety of mission offices (each for several months). In either case you will work with NSA experts in ML OPS engineering, related technical domains, and specialized subject areas. You will have opportunities to participate in internal technical roundtables, and to attend technical conferences with experts from industry and academia.
HOW TO APPLY
Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. **Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreply@intelligencecareers.gov. For job vacancies that include stated testing requirements, also include the following: @uwe.nsa.gov, @nsa.gov, and @pearson.com** U.S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate. Please visit our Diversity link for more information https://www.intelligencecareers.gov/NSA/diversity-and-inclusion.
DCIPS Disclaimer
The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.
At NSA Data Science is a broad field, and a team effort, spanning all the expertise needed to derive value from data. As a Data Scientist specializing in Machine Learning Operations (ML Ops) Engineering, you will help deploy and maintain ML systems that keep NSA at the cutting edge of intelligence gathering and reporting, with all the high-functioning support processes that it requires. Responsibilities include: - Implementing ML pipeline and workflows - Deploying, monitoring, and maintaining ML models in production systems - Deploying ML services and applications to secure cloud platforms (e.g., AWS, Azure, GCP, IBM Cloud) - Building and deploying micro-services as part of ML/DSci applications - Building continuous integration and delivery pipelines for ML applications - Ensuring security and compliance of ML systems - Communicating with a team of data scientists, data engineers, and stakeholders; documenting the process
SKILLS
The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: - Accountable - Proactive - Detail oriented - Able to solve complex problems - Proficient with critical thinking and reasoning to make analytic determinations - Effective at working in a collaborative team environment - Able to bridge the gap with both technical and non-technical audiences Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering
PAY BENEFITS & WORK SCHEDULE
Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. This is a full-time position, hiring for the Maryland, Colorado & Hawaii locations. Salary ranges vary by work level. Salary range: $81,233 - $183,500 (Entry/Developmental, Full Performance, Senior, Expert) On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Typical work schedule is Monday - Friday, with basic 8 hr/day requirements between 0600 to 1800 (flexible).
POSITION SUMMARY
Depending on the skill-sets currently in demand, newly hired ML OPS Engineers may be assigned to a mission office, or alternatively enrolled in the three-year Data Science Development Program (DSDP) in which they will both broaden and specialize their data science skills by taking courses and touring with a variety of mission offices (each for several months). In either case you will work with NSA experts in ML OPS engineering, related technical domains, and specialized subject areas. You will have opportunities to participate in internal technical roundtables, and to attend technical conferences with experts from industry and academia.
HOW TO APPLY
Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. **Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreply@intelligencecareers.gov. For job vacancies that include stated testing requirements, also include the following: @uwe.nsa.gov, @nsa.gov, and @pearson.com** U.S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate. Please visit our Diversity link for more information https://www.intelligencecareers.gov/NSA/diversity-and-inclusion.
DCIPS Disclaimer
The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.
