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Data scientist (sme)

Mons
SOSi
Data Scientist
85 000 € par an
Publiée le 28 juillet
Description de l'offre

SOSi is seeking a highly qualified Subject Matter Expert (SME) Data Scientist to support US Army requirements in the Europe & Africa Area of Responsibility (AOR).

* Lead the design and development of advanced analytical models and algorithms to extract insights from complex datasets.
* Architect data science solutions to address critical business or mission challenges.
* Direct the application of machine learning, statistical analysis, and data mining techniques.
* Establish best practices for data exploration, feature engineering, and model evaluation.
* Communicate findings and recommendations to stakeholders, influencing strategic decisions.
* Oversee the deployment and monitoring of data science models.
* Bachelor’s degree with a minimum of 10 years’ experience, or an Associate’s degree with a minimum of 14 years’ experience, or a high school diploma with a minimum of 16 years’ experience.
* An active Secret security clearance with an SSBI.
* DOD Work Role 423 Certs: Security+ or CAP or vendor-specific advanced certification (e.g., Microsoft Certified Azure Data Scientist Associate, IBM Data Science Professional Certificate, Google Data Machine Learning).
* Proficiency in Microsoft Office suite including Word, PowerPoint, Excel, and SharePoint for document management and various administrative tasks.
* Demonstrated ability to effectively communicate with internal and external stakeholders and organize materials for In-Progress Review (IPR) meetings.
* Experience producing metrics and reports using Microsoft Office tools.
* Proven administrative support experience, assisting contractor management with various tasks and projects.
* Demonstrated history of discretion, independent judgment, and self-direction.
* Normal office conditions with potential to perform duties in deployed locations.
* Core hours of operation are Monday through Friday, 0600 – 1700.
* May be requested to work evenings and weekends to meet program and contract needs.
* It is anticipated that contractor personnel will be required to travel on Temporary Duty (TDY) to various CONUS and OCONUS locations based on USAREUR-AF and Mission Partner requirements.
Overview


**Position contingent upon contract award**


SOSi is seeking a highly qualified Subject Matter Expert (SME) Data Scientist to support US Army requirements in the Europe & Africa Area of Responsibility (AOR).


Essential Job Duties

* Lead the design and development of advanced analytical models and algorithms to extract insights from complex datasets.
* Architect data science solutions to address critical business or mission challenges.
* Direct the application of machine learning, statistical analysis, and data mining techniques.
* Establish best practices for data exploration, feature engineering, and model evaluation.
* Communicate findings and recommendations to stakeholders, influencing strategic decisions.
* Oversee the deployment and monitoring of data science models.

Minimum Requirements

* Bachelor’s degree with a minimum of 10 years’ experience, or an Associate’s degree with a minimum of 14 years’ experience, or a high school diploma with a minimum of 16 years’ experience.
* An active Secret security clearance with an SSBI.
* DOD Work Role 423 Certs: Security+ or CAP or vendor-specific advanced certification (e.g., Microsoft Certified Azure Data Scientist Associate, IBM Data Science Professional Certificate, Google Data Machine Learning).
* Proficiency in Microsoft Office suite including Word, PowerPoint, Excel, and SharePoint for document management and various administrative tasks.
* Demonstrated ability to effectively communicate with internal and external stakeholders and organize materials for In-Progress Review (IPR) meetings.
* Experience producing metrics and reports using Microsoft Office tools.
* Proven administrative support experience, assisting contractor management with various tasks and projects.
* Demonstrated history of discretion, independent judgment, and self-direction.

Work Environment

* Normal office conditions with potential to perform duties in deployed locations.
* Core hours of operation are Monday through Friday, 0600 – 1700.
* May be requested to work evenings and weekends to meet program and contract needs.
* It is anticipated that contractor personnel will be required to travel on Temporary Duty (TDY) to various CONUS and OCONUS locations based on USAREUR-AF and Mission Partner requirements.

Working at SOSi


All interested individuals will receive consideration and will not be discriminated against for any reason.

* Bachelor’s degree with a minimum of 10 years’ experience, or an Associate’s degree with a minimum of 14 years’ experience, or a high school diploma with a minimum of 16 years’ experience.
* An active Secret security clearance with an SSBI.
* DOD Work Role 423 Certs: Security+ or CAP or vendor-specific advanced certification (e.g., Microsoft Certified Azure Data Scientist Associate, IBM Data Science Professional Certificate, Google Data Machine Learning).
* Proficiency in Microsoft Office suite including Word, PowerPoint, Excel, and SharePoint for document management and various administrative tasks.
* Demonstrated ability to effectively communicate with internal and external stakeholders and organize materials for In-Progress Review (IPR) meetings.
* Experience producing metrics and reports using Microsoft Office tools.
* Proven administrative support experience, assisting contractor management with various tasks and projects.
* Demonstrated history of discretion, independent judgment, and self-direction.
* Lead the design and development of advanced analytical models and algorithms to extract insights from complex datasets.
* Architect data science solutions to address critical business or mission challenges.
* Direct the application of machine learning, statistical analysis, and data mining techniques.
* Establish best practices for data exploration, feature engineering, and model evaluation.
* Communicate findings and recommendations to stakeholders, influencing strategic decisions.
* Oversee the deployment and monitoring of data science models.

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