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Data Science Technical Lead

Booz Allen Hamilton
United States, Virginia, Reston
January 13, 2023
Job Number: R0151384

Data Science Technical Lead

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors - from fraud detection to cancer research to national intelligence - you know the answers are in the data.

We have an opportunity for you to use your leadership and analytical skills. You'll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You will have the opportunity to accelerate innovation in artificial intelligence by working with the military to develop innovative solutions that harness the best technologies to process vast amounts of data for critical mission systems and decision making. You will apply knowledge of your field of specialization towards the assessment of program concepts, research and development activities, or emerging technologies. You'll mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help DoD make informed decisions. You'll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the intelligence community.

Empower change with us.

You Have:

  • Experience with designing, developing, and leading analytics or software development projects, including in a technical strategy or project management role

  • Experience with authoring technical content, including whitepapers or peer-reviewed articles related to data science and machine learning

  • Experience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics services

  • Experience with data profiling and statistical analysis for machine modeling tools and generation of predictive models

  • Knowledge of data science and machine learning algorithms, including structured, unstructured, or relational and data mining and machine learning techniques

  • Ability to communicate results to both technical and non-technical audiences effectively, including presenting to senior executives, industry conferences, technical seminars, or meet-ups

  • TS/SCI clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with text mining, text analytics, and Natural Language Processing toolkits

  • Experience with developing analytics for geospatial and commercial imagery data

  • Experience with developing and driving cross-cutting capabilities or solutions

  • Experience with using statistical metrics to generate quantified performance reports for effectiveness and efficiency

  • Experience with statistical analysis tools to determine variability of predictions in multiple dimensions and sensitivity and specificity of models

  • Experience with identification of non-obvious data anomalies, identification of data correlations for predictive modeling, hypothesis testing to validate model performance and to confirm or reject hypothesis, or performing data profiling and associated statistical analysis in preparation for presenting data to rule sets, name matching algorithms, and entity matching tools

  • Knowledge of modern software development techniques, methods, and technologies, including AWS, Hortonworks, Docker, and Kubernetes

  • Knowledge of Agile process or SAFe methodologies

  • Master's degree

  • DoD 8570 Compliance Certification, including Security+ Certification


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Build Your Career:

At Booz Allen, we know the power of analytics and we're dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you'll have the chance to:

  • access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk

  • change the world with the Data Science Bowl-the world's premier data science for social good competition

  • participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You'll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We'll help you develop the career you want as you chart your own course for success.

We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.