Job Number: R0224490 The Opportunity: To transform in today's evolving digital world, organizations must harness data to resolve problems at scale. As an AI and Machine Learning Engineer, you thrive on using your critical-thinking skills to dig deep into complex data and machine learning solutions. You know how to apply your business and technical expertise to oversee the development of analytical processes, tools, and applications. You'll have access to leading-edge tools and resources as you develop highly original solutions for People Services and introduce new ideas that deliver deep visibility and insights. Due to the nature of work performed within this facility, U.S. citizenship is required . Bring your analytical mindset and passion for change to lead the transformation of people analytics. What You'll Work On: Leverage advanced analytical expertise to inform data storytelling, providing recommendations that easily translate into the language of the business for action. Support company-wide talent analytics efforts across key areas such as talent acquisition, compensation, and attrition to drive decision-making. Conduct statistical analysis to identify differences and trends. Develop predictive models. Consult with People Services and business leaders on their team's analytics needs, propose solutions, and develop people analytics strategies that align with company and business objectives across functional areas. Communicate effectively across a highly matrixed organization and at different levels, think and act strategically, and influence key leaders. Integrate with other internal analytics teams to partner on data sets which integrate the talent story with other functional analytics, including our internal enterprise analytics office, as needed. Support ad-hoc analytical requests using quantitative and qualitative people data to provide insights across the employee lifecycle to guide leader decision-making processes aligned with their priorities. Join us. The world can't wait. You Have: 1+ years of experience using R or Python for data manipulation, statistical analysis, and machine learning model development. Experience utilizing SQL for querying and manipulating data. Experience with statistical inference, hypothesis testing, experimental design, and causal analysis. Experience applying experimental design and A/B testing, causal inference, time series or forecasting, survival or attrition modeling, multilevel or hierarchical models, or survey analytics. Experience with natural language processing techniques and large language models (LLMs). Knowledge of compliance and regulatory requirements associated with data management and how to handle data with strict confidentiality. Ability to pick up new tools and concepts quickly, such as building depth in Spark, ML engineering, and enterprise-scale data practices. Ability to maintain a high level of competency in analytical principles, tools, and techniques to discover, learn, and apply new best-in-class advances in talent data analytics capabilities. Ability to translate technical results into clear insights and business recommendations for senior-level audiences, document work, and communicate findings to technical and non-technical stakeholders. Bachelor's degree in Statistics, Computer Science, Industrial/Organizational Psychology, Applied Mathematics, or Data Science. Nice If You Have: Experience with supervised and unsupervised machine learning algorithms relevant to predictive modeling, classification, regression, and clustering. Experience working with HRIS or ATS, survey, or people-related datasets, including Workday, and employee lifecycle processes such as talent acquisition, talent development, workforce planning, or employee listening. Experience utilizing PySpark or Scala for large-scale data processing and Azure Databricks platform and notebooks. Experience using MLflow for tracking or registry, model versioning, and experiment management in cloud environments, including Databricks. Experience using PyTorch and transformer-based models. Experience leading functional projects as a people analytics subject matter expert. Knowledge of government contracting business and people data analytics, people processes, and people metrics, including employee experience survey design and workforce lifecycle listening strategies. Knowledge of relational modeling concepts such as fact vs. dimension tables, primary or foreign keys, constraints, or slowly changing dimensions. Ability to follow emerging team CI/CD practices in Github. Master's degree in a quantitative field such as Statistics, Applied ML, Analytics, Quant Psychology, Economics, or Biostatistics. Compensation: At Booz Allen, we celebrate your contributions, provide 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. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible for our benefits. The projected salary range for this position is $77,600 to $176,000 annually. 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 flexibility and collaboration, whether in person or remotely. If listed as remote or hybrid, you'll periodically work from a Booz Allen or client site. If onsite, you'll work with colleagues and clients in person as needed. Commitment to Non-Discrimination: All qualified applicants will receive consideration regardless of disability, veteran status, or other protected statuses by law.

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