The Ohio State University
Columbus, OH, USA
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Position highlights include opportunities to accomplish the following:
Responsibilities:
Data Analysis and Data Mining (40%)
Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights
Provide high-confidence-level forecasts that allow the business to make informed decisions
Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies
Report, Dashboard and Scorecard Creation (40%)
Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action
Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices.
Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified.
Become an established Subject Matter Expert within the Organization (20%)
Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion;
Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue
Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation
Performance Objectives
First 1-3 months
Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular.
Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau.
Demonstrate basic understanding of the advancement data warehouse.
First 3-6 months
Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising.
Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau.
Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports.
First 12 months
Demonstrate intermediate knowledge and understanding of the higher education advancement industry.
Assume analysis responsibility for monthly fundraising performance analysis.
Assume business evolution responsibility for monthly reports and the fundraising dashboard.
Why Join Ohio State Advancement Now?
In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about Advancement Reporting and Analytics
Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach.
Experience Requirements
The selected candidate for this position must have demonstrated success in several areas, including:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
5 years’ experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
2 years of experience visualizing and presenting data.
Desired requirements include:
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines.
Experience in the non-profit fundraising space.
Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
2 years of project management/consulting experience.
Experience working in an Agile SCRUM environment.
2 years’ experience building dashboards.
2 years of experience conducting forecasting models.
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
How to Apply
Please click the "Apply Now" button on this page to find out more about University Advancement and apply online.
Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Position highlights include opportunities to accomplish the following:
Responsibilities:
Data Analysis and Data Mining (40%)
Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights
Provide high-confidence-level forecasts that allow the business to make informed decisions
Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies
Report, Dashboard and Scorecard Creation (40%)
Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action
Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices.
Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified.
Become an established Subject Matter Expert within the Organization (20%)
Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion;
Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue
Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation
Performance Objectives
First 1-3 months
Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular.
Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau.
Demonstrate basic understanding of the advancement data warehouse.
First 3-6 months
Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising.
Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau.
Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports.
First 12 months
Demonstrate intermediate knowledge and understanding of the higher education advancement industry.
Assume analysis responsibility for monthly fundraising performance analysis.
Assume business evolution responsibility for monthly reports and the fundraising dashboard.
Why Join Ohio State Advancement Now?
In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about Advancement Reporting and Analytics
Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach.
Experience Requirements
The selected candidate for this position must have demonstrated success in several areas, including:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
5 years’ experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
2 years of experience visualizing and presenting data.
Desired requirements include:
Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines.
Experience in the non-profit fundraising space.
Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
2 years of project management/consulting experience.
Experience working in an Agile SCRUM environment.
2 years’ experience building dashboards.
2 years of experience conducting forecasting models.
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
How to Apply
Please click the "Apply Now" button on this page to find out more about University Advancement and apply online.
Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .
National Security Agency
Fort Meade, MD, USA
Responsibilities
The professionals at the National Security Agency (NSA) have one common goal: to protect our nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information.
NSA is the nation's leader in providing foreign signals intelligence while also protecting U.S. government information systems, forging the frontier of communications, and data analysis. We serve the American people by applying technical skills to meaningful work, keeping our friends and families safe for generations to come. You will make a lasting impact serving your country as a Data Scientist at the National Security Agency, using your curiosity to analyze large data sets to inform decision-making against foreign threats.
We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will employ your mathematical science, computer science, and quantitative analysis skills to ensure solutions to complex data problems and take full advantage of the NSA's software and hardware capabilities in all areas of our enterprise, including analytic capabilities, research, and foreign intelligence operations.
Data Scientists are hired into positions directly supporting a technical mission office or the Data Scientist Development Program (DSDP). The NSA/CSS Data Scientist Development Program is a three-year opportunity to build your data science talent, experience the breadth of data science at NSA through six- to nine-month assignments in a variety of diverse organizations, and collaborate with NSA's experts in the field of data science. You will have opportunities to attend technical conferences with experts from industry and academia. You will routinely discuss and share NSA's challenges and successes at weekly technical roundtables. We foster an environment where you will develop your data science skills, allowing you to quickly contribute to NSA's mission.
As a member of a technical mission office or the DSDP, Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies.
As a Data Scientist at NSA, responsibilities may include:
Collecting and combining data from multiple sources
Uncovering and exploring anomalous data (including metadata)
Applying the scientific process to data evaluation, performing statistical inference, and data mining
Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans.
Designing and developing tools and techniques for analysis
Analyzing data using mathematical/statistical methods
Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership
Creating interpretable visualizations
Skills
The ideal candidate is someone with a desire for continual learning and strong problem-solving, analytic and interpersonal skills. You might be a great fit for our team if any of the following describe you:
Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data
Tenacity, integrity, persistence, and willingness to learn
Ability to solve complex problems
Use critical thinking and reasoning to make analytic determinations
Works effectively in a collaborative environment
Strong communications skills to both technical and non-technical audiences
The desire to serve over 300 million fellow Americans and make a difference in world events
Pay, Benefits, & Work Schedule
On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee.
Monday - Friday, with basic 8 hr/day requirements between 0800 to 1800 (flexible)
Position Summary
NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations ' join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals!
Qualifications
Candidates for the NSA's Data Scientist roles are asked to complete a data science examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position.
Salary Range: $70,519 - $87,868 (Entry/Developmental)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note : A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
Salary Range: $81,571 - $108,643 (Full Performance)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
Salary Range: $99,172 - $152,352 (Senior)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
Salary Range: $137,849 - $166,500 (Expert)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
How To Apply - External
To apply for this position, please click the 'Apply Now' button on this page to go to the posting, and click the 'Apply' button located at the top right of the posting. After completing the application for the first time, or reviewing previously entered information, and clicking the 'Submit' button, you will receive a confirmation email. Please ensure your spam filters are configured to accept emails from noreply@intelligencecareers.gov.
***PLEASE NOTE: U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. 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.
This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. 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.
Please note that you may be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing.
Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible.
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.
Responsibilities
The professionals at the National Security Agency (NSA) have one common goal: to protect our nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information.
NSA is the nation's leader in providing foreign signals intelligence while also protecting U.S. government information systems, forging the frontier of communications, and data analysis. We serve the American people by applying technical skills to meaningful work, keeping our friends and families safe for generations to come. You will make a lasting impact serving your country as a Data Scientist at the National Security Agency, using your curiosity to analyze large data sets to inform decision-making against foreign threats.
We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will employ your mathematical science, computer science, and quantitative analysis skills to ensure solutions to complex data problems and take full advantage of the NSA's software and hardware capabilities in all areas of our enterprise, including analytic capabilities, research, and foreign intelligence operations.
Data Scientists are hired into positions directly supporting a technical mission office or the Data Scientist Development Program (DSDP). The NSA/CSS Data Scientist Development Program is a three-year opportunity to build your data science talent, experience the breadth of data science at NSA through six- to nine-month assignments in a variety of diverse organizations, and collaborate with NSA's experts in the field of data science. You will have opportunities to attend technical conferences with experts from industry and academia. You will routinely discuss and share NSA's challenges and successes at weekly technical roundtables. We foster an environment where you will develop your data science skills, allowing you to quickly contribute to NSA's mission.
As a member of a technical mission office or the DSDP, Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies.
As a Data Scientist at NSA, responsibilities may include:
Collecting and combining data from multiple sources
Uncovering and exploring anomalous data (including metadata)
Applying the scientific process to data evaluation, performing statistical inference, and data mining
Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans.
Designing and developing tools and techniques for analysis
Analyzing data using mathematical/statistical methods
Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership
Creating interpretable visualizations
Skills
The ideal candidate is someone with a desire for continual learning and strong problem-solving, analytic and interpersonal skills. You might be a great fit for our team if any of the following describe you:
Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data
Tenacity, integrity, persistence, and willingness to learn
Ability to solve complex problems
Use critical thinking and reasoning to make analytic determinations
Works effectively in a collaborative environment
Strong communications skills to both technical and non-technical audiences
The desire to serve over 300 million fellow Americans and make a difference in world events
Pay, Benefits, & Work Schedule
On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee.
Monday - Friday, with basic 8 hr/day requirements between 0800 to 1800 (flexible)
Position Summary
NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations ' join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals!
Qualifications
Candidates for the NSA's Data Scientist roles are asked to complete a data science examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position.
Salary Range: $70,519 - $87,868 (Entry/Developmental)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note : A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
Salary Range: $81,571 - $108,643 (Full Performance)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
Salary Range: $99,172 - $152,352 (Senior)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
Salary Range: $137,849 - $166,500 (Expert)
*The qualifications listed are the minimum acceptable to be considered for the position. 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.
Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
How To Apply - External
To apply for this position, please click the 'Apply Now' button on this page to go to the posting, and click the 'Apply' button located at the top right of the posting. After completing the application for the first time, or reviewing previously entered information, and clicking the 'Submit' button, you will receive a confirmation email. Please ensure your spam filters are configured to accept emails from noreply@intelligencecareers.gov.
***PLEASE NOTE: U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. 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.
This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. 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.
Please note that you may be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing.
Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible.
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.
