Education: MA/MS in Data Science (or BA/BS and an additional 4 years of related work experience)
Responsibilities:
The United States Air Force (USAF) Concepts, Development, and Management (CDM) Program Office conducts the planning and acquisition of cost-effective, critical capabilities in order to support the war-fighting mission of the combatant commanders.
The Data Scientist will work within the Combatant Command Intelligence (CCI) Enterprise Management Support Office (EMSO). EMSO assists the Office of the Under Secretary of Defense for Intelligence (OUSD(I)) in modernizing, aligning, and integrating enterprise CCI capabilities as part of the Defense Intelligence Enterprise. EMSO focuses on information technology-centric gaps and builds consensus across the community for enterprise solutions, providing decision support for CCI enterprise management, managing capability area portfolios, and conducting material solution analyses when required.
The Data Scientist will support an organization that develops and integrates forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving.
Required Experience:
The Data Scientist supports the production and continued advancement of data analytical processes and techniques within the operational and technical aspects of Defense Intelligence Enterprise (DIE) programs, policies, and concepts at CCI EMSO. The successful candidate creatively approaches a variety of requirements to meet intelligence needs, balances work on multiple tasks, and collaborates with other scientists, engineers, and analysts in a dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field, applying critical thinking skills to real-world issues, and effectively appraising collected data/information using various analytic techniques and methodologies.
Specific responsibilities include but are not limited to:
Provide expertise in advanced analytics, including analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns and apply innovative approaches.
Develop predictive models for forecasting, anomaly detection, and risk management.
Collaborate with SMEs to understand domain-specific data and requirements for analysis.
Extract data from various sources (databases, web, text files) and formats (structured, unstructured, JSON, etc.) and prepare the data for analysis.
Describe data using qualitative and quantitative aggregation/summarization and build tools (static reports, interactive dashboards, web applications) that allow clients to view and understand important patterns and trends in the data.
Provide quantitative comparisons of data points using advanced statistical analysis including data reduction techniques, resampling, and traditional statistical hypothesis testing.
Prepare analytic products in written, oral, visual, and/or multimedia formats.
Devise open-source research and collection management practices.
Facilitate and manage intelligence processes and practices.
Support risk management and process improvement by developing risk mitigation strategies and documentation.
Work with other functional areas including financial management on PEM related activities (e.g., tracking, monitoring, and reporting program element execution, contract actions, unfunded requirements, KPIs, and metrics).
Support development and coordination of DODI 5000.02 acquisition and sustainment or Services Category (S-CAT) level 1 through V milestone planning and reporting documentation.
Qualifications:
The candidate must have the following qualifications:
A minimum of 15 years of related work experience, and 10 years of specific functional work experience supporting a component of DOD and/or the military.
A minimum of 5 years experience producing applied research in the intelligence field.
A minimum of 5 years experience working within the intelligence community.
Experience in analyzing large datasets, developing predictive models, and creating data-driven solutions for decision-making.
Extensive knowledge of research methods in intelligence, and in intelligence theories and applications.
Strong problem-solving and structuring skills.
Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable.
Strong technical communication skills; both written and verbal.
Ability to understand and articulate the "big picture" and simplify complex ideas.
Ability to identify and learn applicable new techniques independently as needed.
Experience in techniques such as:
Text Analytics (natural language processing, feature identification, frequency, network and relationship generation).
Data Analytics in conjunction with analysts to develop dashboards and bespoke decision aids.
Visualization with industry common libraries and display systems.
Graphics Production using PowerPoint, Adobe Creative Suite, Photoshop, and HTML5.
Program Management principles.
Project Management Professional (PMP) PMI Certification.
The following qualifications are desired:
Advanced analytical techniques.
Intelligence and business strategy.
Data analytics for the private sector.
Financial intelligence analysis.
Intelligence and acquisition policy.
Machine learning and artificial intelligence applications.
Natural language processing.
Cyber threat analysis.
Intelligence support to targeting.
Travel: Vicinity travel within the NCR and occasional long-distance travel outside the NCR.
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Education: MA/MS in Data Science (or BA/BS and an additional 4 years of related work experience)
Responsibilities:
The United States Air Force (USAF) Concepts, Development, and Management (CDM) Program Office conducts the planning and acquisition of cost-effective, critical capabilities in order to support the war-fighting mission of the combatant commanders.
The Data Scientist will work within the Combatant Command Intelligence (CCI) Enterprise Management Support Office (EMSO). EMSO assists the Office of the Under Secretary of Defense for Intelligence (OUSD(I)) in modernizing, aligning, and integrating enterprise CCI capabilities as part of the Defense Intelligence Enterprise. EMSO focuses on information technology-centric gaps and builds consensus across the community for enterprise solutions, providing decision support for CCI enterprise management, managing capability area portfolios, and conducting material solution analyses when required.
The Data Scientist will support an organization that develops and integrates forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving.
Required Experience:
The Data Scientist supports the production and continued advancement of data analytical processes and techniques within the operational and technical aspects of Defense Intelligence Enterprise (DIE) programs, policies, and concepts at CCI EMSO. The successful candidate creatively approaches a variety of requirements to meet intelligence needs, balances work on multiple tasks, and collaborates with other scientists, engineers, and analysts in a dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field, applying critical thinking skills to real-world issues, and effectively appraising collected data/information using various analytic techniques and methodologies.
Specific responsibilities include but are not limited to:
Provide expertise in advanced analytics, including analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns and apply innovative approaches.
Develop predictive models for forecasting, anomaly detection, and risk management.
Collaborate with SMEs to understand domain-specific data and requirements for analysis.
Extract data from various sources (databases, web, text files) and formats (structured, unstructured, JSON, etc.) and prepare the data for analysis.
Describe data using qualitative and quantitative aggregation/summarization and build tools (static reports, interactive dashboards, web applications) that allow clients to view and understand important patterns and trends in the data.
Provide quantitative comparisons of data points using advanced statistical analysis including data reduction techniques, resampling, and traditional statistical hypothesis testing.
Prepare analytic products in written, oral, visual, and/or multimedia formats.
Devise open-source research and collection management practices.
Facilitate and manage intelligence processes and practices.
Support risk management and process improvement by developing risk mitigation strategies and documentation.
Work with other functional areas including financial management on PEM related activities (e.g., tracking, monitoring, and reporting program element execution, contract actions, unfunded requirements, KPIs, and metrics).
Support development and coordination of DODI 5000.02 acquisition and sustainment or Services Category (S-CAT) level 1 through V milestone planning and reporting documentation.
Qualifications:
The candidate must have the following qualifications:
A minimum of 15 years of related work experience, and 10 years of specific functional work experience supporting a component of DOD and/or the military.
A minimum of 5 years’ experience producing applied research in the intelligence field.
A minimum of 5 years’ experience working within the intelligence community.
Experience in analyzing large datasets, developing predictive models, and creating data-driven solutions for decision-making.
Extensive knowledge of research methods in intelligence, and in intelligence theories and applications.
Strong problem-solving and structuring skills.
Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable.
Strong technical communication skills; both written and verbal.
Ability to understand and articulate the "big picture" and simplify complex ideas.
Ability to identify and learn applicable new techniques independently as needed.
Experience in techniques such as:
Text Analytics (natural language processing, feature identification, frequency, network and relationship generation).
Data Analytics in conjunction with analysts to develop dashboards and bespoke decision aids.
Visualization with industry common libraries and display systems.
Graphics Production using PowerPoint, Adobe Creative Suite, Photoshop, and HTML5.
Program Management principles.
Project Management Professional (PMP) PMI Certification.
The following qualifications are desired:
Advanced analytical techniques.
Intelligence and business strategy.
Data analytics for the private sector.
Financial intelligence analysis.
Intelligence and acquisition policy.
Machine learning and artificial intelligence applications.
Natural language processing.
Cyber threat analysis.
Intelligence support to targeting.
Travel: Vicinity travel within the NCR and occasional long-distance travel outside the NCR.

#J-18808-Ljbffr

Education: MA/MS in Data Science (or BA/BS and an additional 4 years of related work experience) Responsibilities: The United States Air Force (USAF) Concepts, Development, and Management (CDM) Program Office conducts the planning and acquisition of cost-effective, critical capabilities in order to support the war-fighting mission of the combatant commanders. The Data Scientist will work within the Combatant Command Intelligence (CCI) Enterprise Management Support Office (EMSO). EMSO assists the Office of the Under Secretary of Defense for Intelligence (OUSD(I)) in modernizing, aligning, and integrating enterprise CCI capabilities as part of the Defense Intelligence Enterprise. EMSO focuses on information technology-centric gaps and builds consensus across the community for enterprise solutions, providing decision support for CCI enterprise management, managing capability area portfolios, and conducting material solution analyses when required. The Data Scientist will support an organization that develops and integrates forward-looking technologies to enhance the DoD worldwide mission, maturing its architecture of hardware, software, and advanced intelligence problem solving. Required Experience: The Data Scientist supports the production and continued advancement of data analytical processes and techniques within the operational and technical aspects of Defense Intelligence Enterprise (DIE) programs, policies, and concepts at CCI EMSO. The successful candidate creatively approaches a variety of requirements to meet intelligence needs, balances work on multiple tasks, and collaborates with other scientists, engineers, and analysts in a dynamic, cross-functional environment. The Data Scientist is responsible for producing applied research in the intelligence field, applying critical thinking skills to real-world issues, and effectively appraising collected data/information using various analytic techniques and methodologies. Specific responsibilities include but are not limited to: <ol><li>Provide expertise in advanced analytics, including analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns and apply innovative approaches. </li><li>Develop predictive models for forecasting, anomaly detection, and risk management. </li><li>Collaborate with SMEs to understand domain-specific data and requirements for analysis. </li><li>Extract data from various sources (databases, web, text files) and formats (structured, unstructured, JSON, etc.) and prepare the data for analysis. </li><li>Describe data using qualitative and quantitative aggregation/summarization and build tools (static reports, interactive dashboards, web applications) that allow clients to view and understand important patterns and trends in the data. </li><li>Provide quantitative comparisons of data points using advanced statistical analysis including data reduction techniques, resampling, and traditional statistical hypothesis testing. </li><li>Prepare analytic products in written, oral, visual, and/or multimedia formats. </li><li>Devise open-source research and collection management practices. </li><li>Facilitate and manage intelligence processes and practices. </li><li>Support risk management and process improvement by developing risk mitigation strategies and documentation. </li><li>Work with other functional areas including financial management on PEM related activities (e.g., tracking, monitoring, and reporting program element execution, contract actions, unfunded requirements, KPIs, and metrics). </li><li>Support development and coordination of DODI 5000.02 acquisition and sustainment or Services Category (S-CAT) level 1 through V milestone planning and reporting documentation. </li> </ol>Qualifications: The candidate must have the following qualifications: <ol><li>A minimum of 15 years of related work experience, and 10 years of specific functional work experience supporting a component of DOD and/or the military. </li><li>A minimum of 5 years’ experience producing applied research in the intelligence field. </li><li>A minimum of 5 years’ experience working within the intelligence community. </li><li>Experience in analyzing large datasets, developing predictive models, and creating data-driven solutions for decision-making. </li><li>Extensive knowledge of research methods in intelligence, and in intelligence theories and applications. </li><li>Strong problem-solving and structuring skills. </li><li>Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable. </li><li>Strong technical communication skills; both written and verbal. </li><li>Ability to understand and articulate the "big picture" and simplify complex ideas. </li><li>Ability to identify and learn applicable new techniques independently as needed. </li><li>Experience in techniques such as: </li> </ol><ul><li>Text Analytics (natural language processing, feature identification, frequency, network and relationship generation). </li><li>Data Analytics in conjunction with analysts to develop dashboards and bespoke decision aids. </li><li>Visualization with industry common libraries and display systems. </li><li>Graphics Production using PowerPoint, Adobe Creative Suite, Photoshop, and HTML5. </li><li>Program Management principles. </li><li>Project Management Professional (PMP) PMI Certification. </li> </ul>The following qualifications are desired: <ul><li>Advanced analytical techniques. </li><li>Intelligence and business strategy. </li><li>Data analytics for the private sector. </li><li>Financial intelligence analysis. </li><li>Intelligence and acquisition policy. </li><li>Machine learning and artificial intelligence applications. </li><li>Natural language processing. </li><li>Cyber threat analysis. </li><li>Intelligence support to targeting. </li> </ul>Travel: Vicinity travel within the NCR and occasional long-distance travel outside the NCR. #J-18808-Ljbffr

THE OPPORTUNITY We are seeking a highly motivated and detail-oriented junior Data Scientist to join our Investment Science Team. The successful candidate will partner with data science and investing professionals to curate and analyze a wide variety of financial data. This role involves collaborating with other data scientists to deliver high-quality intelligence to our constituents through the application of novel statistical methods. RESPONSIBILITIES Collaborate with data science and investing professionals on data analysis related to investment performance across a variety of domains including client portfolio performance, asset class performance, and individual manager performance. Deliver high-quality insights within project scope and timeframes in collaboration with other data scientists. Curate new and interesting data sets that support the intelligence we seek to deliver. Apply novel statistical methods to analyze data from varied sources. Participate in planning and execution activities for projects undertaken by the Investment Science Team. Write basic unit tests and support test-driven development/automation within the investment science code base. Engage in Research and Development activities and prototypes. Participate in peer code reviews. Write monitoring and validation code that monitors data objects that the team creates. Automate the delivery of intelligence through our cloud infrastructure. QUALIFICATIONS Bachelor's degree in Math, Computer Science, Data Analysis, or a related field. 0-3 years of experience in a professional services environment. Experience and proficiency with coding in R or Python. Ideal candidates will have proficiency in both. Strong analytical skills and a passion for solving complex problems through data. Ability to thrive in a flexible work environment, including both in-person and remote work options. Excellent communication skills and a proactive approach to problem-solving. A curious mindset with a commitment to life-long learning. A keen interest in finance and investment management. A passion for creating useful intelligence and working with constituents to leverage that intelligence in creating better outcomes for clients. Eligibility to work in the US without sponsorship or restriction. EQUAL OPPORTUNITY EMPLOYMENT The firm is committed to the concept and practice of equal employment opportunity, and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers. J-18808-Ljbffr

THE OPPORTUNITY We are seeking a highly motivated and detail-oriented junior Data Scientist to join our Investment Science Team. The successful candidate will partner with data science and investing professionals to curate and analyze a wide variety of financial data. This role involves collaborating with other data scientists to deliver high-quality intelligence to our constituents through the application of novel statistical methods. RESPONSIBILITIES Collaborate with data science and investing professionals on data analysis related to investment performance across a variety of domains including client portfolio performance, asset class performance, and individual manager performance. Deliver high-quality insights within project scope and timeframes in collaboration with other data scientists. Curate new and interesting data sets that support the intelligence we seek to deliver. Apply novel statistical methods to analyze data from varied sources. Participate in planning and execution activities for projects undertaken by the Investment Science Team. Write basic unit tests and support test-driven development/automation within the investment science code base. Engage in Research and Development activities and prototypes. Participate in peer code reviews. Write monitoring and validation code that monitors data objects that the team creates. Automate the delivery of intelligence through our cloud infrastructure. QUALIFICATIONS Bachelor's degree in Math, Computer Science, Data Analysis, or a related field. 0-3 years of experience in a professional services environment. Experience and proficiency with coding in R or Python. Ideal candidates will have proficiency in both. Strong analytical skills and a passion for solving complex problems through data. Ability to thrive in a flexible work environment, including both in-person and remote work options. Excellent communication skills and a proactive approach to problem-solving. A curious mindset with a commitment to life-long learning. A keen interest in finance and investment management. A passion for creating useful intelligence and working with constituents to leverage that intelligence in creating better outcomes for clients. Eligibility to work in the US without sponsorship or restriction. EQUAL OPPORTUNITY EMPLOYMENT The firm is committed to the concept and practice of equal employment opportunity, and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers. J-18808-Ljbffr

THE OPPORTUNITY

We are seeking a highly motivated and detail-oriented junior Data Scientist to join our Investment Science Team. The successful candidate will partner with data science and investing professionals to curate and analyze a wide variety of financial data. This role involves collaborating with other data scientists to deliver high-quality intelligence to our constituents through the application of novel statistical methods.

RESPONSIBILITIES

Collaborate with data science and investing professionals on data analysis related to investment performance across a variety of domains including client portfolio performance, asset class performance, and individual manager performance.

Deliver high-quality insights within project scope and timeframes in collaboration with other data scientists.

Curate new and interesting data sets that support the intelligence we seek to deliver.

Apply novel statistical methods to analyze data from varied sources.

Participate in planning and execution activities for projects undertaken by the Investment Science Team.

Write basic unit tests and support test-driven development/automation within the investment science code base.

Engage in Research and Development activities and prototypes.

Participate in peer code reviews.

Write monitoring and validation code that monitors data objects that the team creates.

Automate the delivery of intelligence through our cloud infrastructure.

QUALIFICATIONS

Bachelor's degree in Math, Computer Science, Data Analysis, or a related field.

0-3 years of experience in a professional services environment.

Experience and proficiency with coding in R or Python. Ideal candidates will have proficiency in both.

Strong analytical skills and a passion for solving complex problems through data.

Ability to thrive in a flexible work environment, including both in-person and remote work options.

Excellent communication skills and a proactive approach to problem-solving.

A curious mindset with a commitment to life-long learning.

A keen interest in finance and investment management.

A passion for creating useful intelligence and working with constituents to leverage that intelligence in creating better outcomes for clients.

Eligibility to work in the US without sponsorship or restriction.

EQUAL OPPORTUNITY EMPLOYMENT

The firm is committed to the concept and practice of equal employment opportunity, and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.

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