Telos Corporation
Job DescriptionThe most security-conscious organizations trust Telos Corporation to protect their vital IT assets.
The reputation of our company rests on the quality of our solution and the integrity of our people.
Explore what you can bring to our solutions in information assurance, secure networks, secure enterprise messaging, and identity management.
Be a part of the Telos culture and see what sets us apart! Telos offers an excellent compensation package with benefits that include generous paid time off, medical, dental, vision, tuition reimbursement, and 401k.
Our employees enjoy more than just a great work environment!This position is split between our headquarters in Ashburn, VA, Customer Site leadership, and remote work.
Possibility of limited travel outside of DC metro region (Domestic and International).
The Vice President of Cyber Data Science works closely with the companys executive management team.
This position is a leadership role responsible for developing, expanding and optimizing the ongoing operation of the companys tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms as applied to solve vexing strategic national security and cybersecurity problems.
In addition, the VP of Cyber Data Science is responsible for the ongoing strategic advancement of the companys data science capabilities.
As the VP of Cyber Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering teams to materialize those initiatives.
Responsibilities:
Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the companys technology platformsBe a technical leader for the data science team, helping institute engineering best-practices (secure coding standards, automated testing, scalability, etc.
) while growing the technical capabilities and capacity of the teamEnsure data best practices and play a critical role in building a data-driven culture throughout the entire organizationPartner with senior business, product, and engineering leaders to develop strategic goalsPartner with the technology leadership team to create a long-term vision and develop a roadmap of cyber data science projectsWorking with the Telos Innovation team and lab, conceive, develop, implement, and continually improve data science, machine learning, and AI projects.
Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problemsDevelop new capabilities to deliver business solutions by applying data science algorithmsBuild and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosperFoster career growth and provide thoughtful mentorship to develop employees at varying levels of experience.
Establish a clear vision and mission for the data science departmentWork with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmapsDetermine value for leveraging data science, machine learning, and other analytical techniques to improve existing product features and capabilities.
Provide leadership on how to leverage data and data expertise to improve the customer experienceServe as a champion for data science and informed decision-making at all levels of the company.
Make analytical techniques approachable and understandable to non-data scientistsLeads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets.
Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior.
Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.
Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data.
Understand platform usage and assist with production deployments and customer issue triage.
Develop security features as part of the development and adopt the DevSecOps culture.
Required Skills and
Experience:
Understanding of foundational internet services to better defend cyberspace, both external and internal to organizations.
Network understanding is critical for this role, preference give to expert levels of understanding over data science depth.
Demonstrated experience and subject matter knowledge in cyber and information security for applications, web architectures, operating systems, and databases.
Experience and proven capabilities in application risk assessment, application security architecture development, web application security, and application security testing.
Demonstrated experience in security architecture risk assessment, requirements development, secure design analysis, architecture assessment and development, and security testing of applications and systems.
Extensive experience developing, evaluating, and implementing cyber and information security architectures, technologies, standards, and practices to secure applications and IT systems.
Expertise with security development lifecycle (SDL) processes for internally developed applications.
Expert knowledge and experience in application security standards, methodologies, and technologies.
Proven capability to assess enterprise architectures for vulnerabilities and develop appropriate security countermeasures.
Expertise in Python for both cybersecurity and data science applications.
Expertise in platforms like Elastic, Hadoop/Cloudera, etcUnderstanding of hardware GPU, DPU applications to speed analysis of very large datasets and applicability of different CSPs offerings to make effective analytical platform target decisionsExperience developing and implementing container-based and microservices solutions containing sophisticated analytical logic.
Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance, defensive, offensive, network operations and/or threat hunting.
Experience in parsing and cleansing data.
Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization of very large data sets in streaming environments.
Experience working in Agile, DevSecOps environments.
Job Requirements
Qualifications:
Bachelors Degree (or equivalent) with 16
years of experience or a Masters with 14
years of experience10
years of advanced analytics or data science experience5
years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing executionDHS PII and PCII Certifications (highly desirable)Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learningStrong interpersonal and communication skills.
You are equally comfortable presenting to executives and peers as you are writing complex SQL queriesBusiness Acumen - Proven ability to apply data science capabilities to solve practical business problemsProduct Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skillsExpert level knowledge in predictive analytics, machine learning, and data miningProficiency in Python, Spark, Notebooks, AWS, GCP, Azure and OCI selection and optimization, Generative AI models, etc.
Data & ML Architecture - Experienced integrating data science applications into software products.
Understands ML Ops (deployment/scalable infrastructure)Has worked with data at scale and velocityMentor/Coach - A player-coach who can roll up sleeves, solve problems with a team, and facilitate the teams successProven ability to attract, hire, develop, and retain exceptional talentA dynamic, forward-thinking leader who will bring intensity and commitment to the business.
A bias toward action, experimentation, and velocityRelevant security certifications (CISSP, CISM, SABSA, GIAC)Telos maintains a drug-free workplace and will conduct drug testing on all applicants who have accepted an offer of employment.
Telos Corporation participates in the E-Verify program.
Therefore, any employment with Telos will also be contingent upon confirmation from the Social Security Administration (SSA) and/or the Department of Homeland Security (DHS) of your authorization to work in the United States.
About the Company:
Telos Corporation For more than 25 years, Telos Corporation has pursued a single goal:
to empower and protect the enterprise with continuous security assurance for people, systems, and information.
The Telos work environment encourages creativity, embraces change, and rewards the individual and collective contributions of our employees.
At Telos, we realize that our success as a company stems directly from our success as an employer.
That is why we are committed to finding, attracting, and keeping the best talent available.
We reward expertise with professional growth and opportunity, an excellent salary, and an extensive benefits package.
If this appeals to you, we invite you to put Telos on your career path.
Headquartered in Ashburn, VA, outside the Washington, D.
C.
metropolitan area, Telos Corporation is located in the heart of the Dulles technology corridor.
We have grown into a worldwide operation of professionals who are world-renowned for their software development, security, integration, and systems management expertise.
Company Size:
100 to 499 employeesIndustry:
Computer/IT ServicesFounded:
1971Website:
https:
//www.
telos.
com/.
Estimated Salary: $20 to $28 per hour based on qualifications.
The reputation of our company rests on the quality of our solution and the integrity of our people.
Explore what you can bring to our solutions in information assurance, secure networks, secure enterprise messaging, and identity management.
Be a part of the Telos culture and see what sets us apart! Telos offers an excellent compensation package with benefits that include generous paid time off, medical, dental, vision, tuition reimbursement, and 401k.
Our employees enjoy more than just a great work environment!This position is split between our headquarters in Ashburn, VA, Customer Site leadership, and remote work.
Possibility of limited travel outside of DC metro region (Domestic and International).
The Vice President of Cyber Data Science works closely with the companys executive management team.
This position is a leadership role responsible for developing, expanding and optimizing the ongoing operation of the companys tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms as applied to solve vexing strategic national security and cybersecurity problems.
In addition, the VP of Cyber Data Science is responsible for the ongoing strategic advancement of the companys data science capabilities.
As the VP of Cyber Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering teams to materialize those initiatives.
Responsibilities:
Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the companys technology platformsBe a technical leader for the data science team, helping institute engineering best-practices (secure coding standards, automated testing, scalability, etc.
) while growing the technical capabilities and capacity of the teamEnsure data best practices and play a critical role in building a data-driven culture throughout the entire organizationPartner with senior business, product, and engineering leaders to develop strategic goalsPartner with the technology leadership team to create a long-term vision and develop a roadmap of cyber data science projectsWorking with the Telos Innovation team and lab, conceive, develop, implement, and continually improve data science, machine learning, and AI projects.
Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problemsDevelop new capabilities to deliver business solutions by applying data science algorithmsBuild and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosperFoster career growth and provide thoughtful mentorship to develop employees at varying levels of experience.
Establish a clear vision and mission for the data science departmentWork with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmapsDetermine value for leveraging data science, machine learning, and other analytical techniques to improve existing product features and capabilities.
Provide leadership on how to leverage data and data expertise to improve the customer experienceServe as a champion for data science and informed decision-making at all levels of the company.
Make analytical techniques approachable and understandable to non-data scientistsLeads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets.
Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior.
Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.
Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data.
Understand platform usage and assist with production deployments and customer issue triage.
Develop security features as part of the development and adopt the DevSecOps culture.
Required Skills and
Experience:
Understanding of foundational internet services to better defend cyberspace, both external and internal to organizations.
Network understanding is critical for this role, preference give to expert levels of understanding over data science depth.
Demonstrated experience and subject matter knowledge in cyber and information security for applications, web architectures, operating systems, and databases.
Experience and proven capabilities in application risk assessment, application security architecture development, web application security, and application security testing.
Demonstrated experience in security architecture risk assessment, requirements development, secure design analysis, architecture assessment and development, and security testing of applications and systems.
Extensive experience developing, evaluating, and implementing cyber and information security architectures, technologies, standards, and practices to secure applications and IT systems.
Expertise with security development lifecycle (SDL) processes for internally developed applications.
Expert knowledge and experience in application security standards, methodologies, and technologies.
Proven capability to assess enterprise architectures for vulnerabilities and develop appropriate security countermeasures.
Expertise in Python for both cybersecurity and data science applications.
Expertise in platforms like Elastic, Hadoop/Cloudera, etcUnderstanding of hardware GPU, DPU applications to speed analysis of very large datasets and applicability of different CSPs offerings to make effective analytical platform target decisionsExperience developing and implementing container-based and microservices solutions containing sophisticated analytical logic.
Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance, defensive, offensive, network operations and/or threat hunting.
Experience in parsing and cleansing data.
Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization of very large data sets in streaming environments.
Experience working in Agile, DevSecOps environments.
Job Requirements
Qualifications:
Bachelors Degree (or equivalent) with 16
years of experience or a Masters with 14
years of experience10
years of advanced analytics or data science experience5
years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing executionDHS PII and PCII Certifications (highly desirable)Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learningStrong interpersonal and communication skills.
You are equally comfortable presenting to executives and peers as you are writing complex SQL queriesBusiness Acumen - Proven ability to apply data science capabilities to solve practical business problemsProduct Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skillsExpert level knowledge in predictive analytics, machine learning, and data miningProficiency in Python, Spark, Notebooks, AWS, GCP, Azure and OCI selection and optimization, Generative AI models, etc.
Data & ML Architecture - Experienced integrating data science applications into software products.
Understands ML Ops (deployment/scalable infrastructure)Has worked with data at scale and velocityMentor/Coach - A player-coach who can roll up sleeves, solve problems with a team, and facilitate the teams successProven ability to attract, hire, develop, and retain exceptional talentA dynamic, forward-thinking leader who will bring intensity and commitment to the business.
A bias toward action, experimentation, and velocityRelevant security certifications (CISSP, CISM, SABSA, GIAC)Telos maintains a drug-free workplace and will conduct drug testing on all applicants who have accepted an offer of employment.
Telos Corporation participates in the E-Verify program.
Therefore, any employment with Telos will also be contingent upon confirmation from the Social Security Administration (SSA) and/or the Department of Homeland Security (DHS) of your authorization to work in the United States.
About the Company:
Telos Corporation For more than 25 years, Telos Corporation has pursued a single goal:
to empower and protect the enterprise with continuous security assurance for people, systems, and information.
The Telos work environment encourages creativity, embraces change, and rewards the individual and collective contributions of our employees.
At Telos, we realize that our success as a company stems directly from our success as an employer.
That is why we are committed to finding, attracting, and keeping the best talent available.
We reward expertise with professional growth and opportunity, an excellent salary, and an extensive benefits package.
If this appeals to you, we invite you to put Telos on your career path.
Headquartered in Ashburn, VA, outside the Washington, D.
C.
metropolitan area, Telos Corporation is located in the heart of the Dulles technology corridor.
We have grown into a worldwide operation of professionals who are world-renowned for their software development, security, integration, and systems management expertise.
Company Size:
100 to 499 employeesIndustry:
Computer/IT ServicesFounded:
1971Website:
https:
//www.
telos.
com/.
Estimated Salary: $20 to $28 per hour based on qualifications.
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