Data Scientist, Senior
Support enterprise-wide, data-driven strategic human capital for a large DoD organization by leveraging a data science approach to Human Resources (HR) data. Perform research, analyze data, and compile and develop reports for HR. Develop insightful data visualizations that enable senior leaders to manage and implement a data-based strategy for a specialized, highly educated, and diverse workforce across multiple programs and locations. Support a multi-disciplinary HR team to gain more actionable workforce insights from existing diversity data and help guide the team to move beyond descriptive reporting towards relevant insights and actions from data. Develop strong partnerships with key stakeholders across the enterprise to expand the capabilities of the organization through analytics, product experiences, and operational excellence.
Basic Qualifications:
6+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data
2+ years of experience using SQL to conduct complex database queries and conduct data visualization using Tableau
Experience applying data science techniques to analyze human resource data to gain insights and make informed decisions about workforce management, recruitment, training, and overall HR strategies.
Knowledge of the analytics maturity model, data strategy, and data governance
Ability to create pivot tables, formulas, and sophisticated macros and data models using Microsoft Excel and VBA
Ability to display business judgment in anticipating client or project needs and developing alternative solutions
Ability to be a self-starter with initiative, pay attention to details, and present complex information to non-technical audiences
TS/SCI clearance with a polygraph
Bachelor’s degree
Additional Qualifications:
Experience applying AI and ML concepts to solve business problems, make data-driven decisions, and develop predictive analysis products
Experience implementing data strategy and data governance practices
Knowledge of natural language processing techniques
Knowledge of commercial cloud services used by the IC
Possession of excellent verbal and written communication skills, including communicating information to a senior executive audience
Possession of excellent problem-solving, interpersonal, communication, and research skills
Master’s degree in Mathematics, Statistics, CS, Data Analytics, or a related technical field
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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.
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 $96,600.00 to $220,000.00 (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.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
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.
