To our valued Leidos candidates:

Coronavirus is on everyone's mind with the effects being felt around the world. The markets are volatile, and we're all concerned for the health and safety of our families, friends, and colleagues. Please know that we're taking all necessary measures to safeguard our employees, customers and the communities in which we live, including following all recommended best practices around social distancing.

With that in mind, in an abundance of caution, we are canceling all face to face career events, such as job fairs and open house events. In the coming days and weeks, we will be hosting career events virtually, using our online chat tools so that we may continue our hiring practice safely and securely. You can find available virtual career events at https://career-events.leidos.com.

We are using telephone meetings and online chats via Brazen to conduct interviews and hiring discussions, and we are offering options for video interviews so that you can have a virtual face to face meeting with your potential new leader. We do not conduct interviews or extend offers via text or chat based social media, such as WhatsApp or MySpace.

Leidos will never ask you to provide payment-related information at any part of the employment application process, nor will Leidos ever advance money as part of the hiring process. And Leidos will communicate with you only through emails that are generated by Leidos.com automated system. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to Chris Scalia, Leidos’ Senior Vice President of Talent Acquisition, at [email protected].

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Job #: R-00071418
Location: Tewksbury, MA
Category: Engineering Management
Schedule (FT/PT): Full Time
Travel Required: Yes, 10% of the time
Shift: Day
Potential for Telework: Yes, 25%
Clearance: Public Trust
Referral Eligibility: Ineligible
Group: Civil

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Description

Job Description:

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we conduct business.

Your greatest work is ahead!

We are in search of a Director of Data Science to join our team. Our ideal candidate is comfortable with electrical and mechanical systems, RF, X-Ray, optical systems, and software development. They thrive in an intense, dynamic environment, and are happy to engage in a hands-on leadership role, applying a highly analytical mindset and strong problem-solving skills to their work. The Director of Data Science will lead teams that are developing innovative solutions, leveraging patterns and relationships in order to enhance aviation security applications. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with data, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive SD&As product strategy.

This leader must coach and grow, retain and recruit top diverse talent onto the team and inspire them to deliver the best work of their lives. This leader must possess a strong product development understanding and background and guide team in best options to embed AI/ML models within aviation security products. They are expected to be highly in-tune with industry best practices, technologies, processes, and techniques and can provide leadership to multiple teams on how best to apply them pragmatically to solve technical challenges.

Leidos Security Detection & Automation (SD&A) operation is the cornerstone of Leidos’ comprehensive suite of fully-integrated security detection and automation solutions for aviation, ports and borders, and critical infrastructure customers around the world. Our operation has more than 24,000 products deployed across 120 countries. Leveraging this portfolio, our core technical strengths, and robust R&D initiatives, we are positioned to address emerging and evolving threats through rapid development of innovative solutions for our global customers.

Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your resume with us today!

Primary Responsibilities

  • Recruit, train and lead teams of data scientists, engineers and software developers to develop new machine learning and cognitive computing applications for the aviation security market.
  • Organizational experience partnering with global leaders, HR and recruiting to develop and execute on a strategy to attract, retain and develop top talent and role model leadership best practices. Recruit and develop great people; continually raising the bar.
  • Lead the development of AI/ML technology strategies in collaboration with customers, product managers and technical staff to promote continuous innovation in SD&A.
  • Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our applications
  • Set priorities within the department and align those priorities with the company’s broader vision/mission.
  • Develop budget proposals for staffing and ensure the efficient and effective operation of the systems engineering team within cost requirements. 
  • Interfacing with other engineering managers, product management, and program management to drive new product development programs from concept to production.
  • Scope, manage, and deliver multiple technical projects in parallel from concept to deployment.
  • Balance short-term priorities with long-term vision.
  • Evaluating and identifying improvements to the overall design processes.
  • Provide thought leadership and represent SD&A at industry and academic meetings and conferences.

Basic Qualifications

  • Bachelor’s Degree in computer science, math, or related major. Master’s Degree+ preferred. 8+ years of experience in data science and software development/programming.
  • Track record and demonstrated leadership experience in developing and launching complex products / capital equipment to market.
  • Excellent people skills, with experience leading and collaborating in a multi-disciplinary, diverse, and dynamic team environment.
  • Drive out of the box thinking to meet difficult engineering schedule milestone goals.
  • Introduce and drive new technologies and tools such as MBSE and Digital Engineering.
  • Own the full lifecycle of AI/ML development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and measuring the overall value.
  • Be a role model and professional coach for data scientists. Help them realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and challenging them to stretch their skills.
  • Constantly learn, have a clear pulse on innovation across the smart products, security, data science, and analytics communities.
  • Solid foundation in machine learning algorithms and applied statistics (neural networks, linear & logical regressions, decision trees, distributions, classification techniques, etc.) including practical implementations
  • Working knowledge of hardware acceleration techniques for increasing algorithm efficiency for real-time applications
  • Experience building and scaling Machine Learning Infrastructure from embedded applications to networked solutions
  • As a player-coach, lead and execute complex modeling/machine learning projects and new product development from concept to delivery
  • Experience in data visualization and presentation methods
  • Experience managing teams of data scientists/engineers
  • Proficiency in Python development and data science toolsets and libraries
  • Experience with machine learning algorithms (regression, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing, natural language processing)
  • Experience delivering AI/machine learning applications to end-users
  • Ensure standardization of products and processes across multiple projects; Drive engineering process improvements.
  • Excellent verbal, written and interpersonal communication skills are required for effective interface with all internal and external contacts.  Position requires strong presentation skills in front of high-level government officials and internal Senior Management.
  • May require occasional travel (5%), domestic or international.
  • Ability to obtain and maintain a US secret security clearance, which requires US Citizenship. We are unable to sponsor visas for this position and require applicants to be either a US citizen or a permanent resident (Green Card holder).

Preferred Qualifications

  • Experience in the Electronic Warfare, Radar, and multispectral imaging domains
  • Experience with Issue Tracking tools such as JIRA
  • Experience with collaboration tools such as Confluence
  • Proven ability to develop and foster relationships with other organizational leaders that drive a culture of continuous improvement.
  • Exceptional track record in technical team management, developing organizational capability and recruiting/growing key talents.
  • Thorough understanding of modeling and simulation, particularly hardware-in-the-loop simulation and digital modeling.
  • Working knowledge of low-noise sensors, radar systems, x-ray, and multispectral imaging systems a plus. Basic knowledge of the electromagnetic spectrum and related technologies.
  • Current US secret security clearance.

Pay Range:

COVID Response

In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC. 

About Leidos

Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $12.30 billion for the fiscal year ended January 1, 2021.  For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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