The Opportunity:

As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise and consulting mindset, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with programming languages, operationalizing models, containerization, data architecture, and cloud computing platforms for our clients.

As an advanced data scientist and researcher on our team, you’ll learn and apply innovative methodologies to make a real-world impact. You’ll grow your skills in data science, AI, machine learning operationalization process, predictive modeling, and shape the future of analytics through a variety of means.

We’ll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods, and opportunities to publish or present at conferences. Whether you’re using AI to impact the climate, improving government efficiency, or providing better services to the public, improving veterans’ experiences, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

You Have:  

• Experience developing data science solutions from scratch

• Experience with Big Data programming technologies, including distributed data and computing tools such as Spark, Databricks, Hadoop, and Hive

• Experience developing predictive and decision models, quantitative analysis, and visualization

• Experience with Python programming

• Top Secret clearance

• Bachelor's degree and 10+ years of experience as a data scientist or 14+ years of experience as a data scientist in lieu of a degree

Nice If You Have:  

• Experience with natural language processing (NLP) models

• Experience with natural language generation (NLG) models

• Experience performing data transformation and modeling in Databricks

• Knowledge of commercial cloud platforms, services, and technologies

• Ability to apply deep learning to NLP

• TS/SCI clearance with a Polygraph

• Master's degree

• Data Science or Cloud Development Certification  

Clearance:   
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. 

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

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.