Staff Technologist
Key Role:
Lead model development within the decision analytics capability, including a focus on mathematical programming. Analyze data to identify trends and support the development of mission analyses using techniques, including econometrics regression analysis, cluster analysis, Bayesian analysis, discriminant analysis, sentiment analysis, support vector machines, survival analysis, and other modes of machine. Work with a variety of software platforms to build and apply mathematical and statistical models that address multi-dimensional issues that have technical, operational, and organizational implications. Contribute to the development of new concepts and experiments, translate these ideas into executable action plans, and communicate these plans to a diverse client base. Devise modeling and measuring techniques and use mathematics, statistical methods, engineering methods, and operational mathematics techniques, including linear programming, game theory, probability theory, symbolic language, stochastic modeling, and other principles and laws of scientific and economic disciplines. Develop technical solutions to complex problems that require the regular use of ingenuity and creativity. Work within cross-functional teams to engage the client, comprehend the client's problems, develop strategic analytical products, support requirements analysis, including process and systems analyses, support the development of business and system architectures, and define actionable system requirements.
Basic Qualifications:
1+ years of experience with quantitative analysis and qualitative interpretation of data
1+ years of experience with data science, modeling, machine learning, data mining, or statistics
Ability to demonstrate enthusiasm for data and comprehend the nuances of complex data models
Ability to self-motivate
Ability to obtain a Secret clearance
Bachelor's degree
Additional Qualifications:
Experience in a client-focused, business-facing role
Experience with working in strategy or management consulting
Experience with R, Python, SAS, Tableau, Excel, and other data visualization tools and programming languages
Experience with data discovery and visualization
Ability to engage and collaborate with peers, leadership, and cross-functional teams
Ability to be articulate, persuasive, and enthusiastic with a knack for good storytelling
Possession of excellent client relationship skills
Master's degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $75,600.00 to $172,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
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.
