Corporate AI and Machine Learning Engineer

Booz Allen Hamilton is seeking a Corporate AI and Machine Learning Engineer to transform data into actionable insights. The role involves utilizing advanced analytical skills to support company-wide talent analytics efforts and develop predictive models to guide decision-making processes. Responsibilities 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, and develop predictive models Work 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 Skills 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, CS, Industrial Psychology, Organizational Psychology, Applied Mathematics, or Data Science 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 the government contracting business and people data analytics, people processes, and people metrics, including employee experience survey design and overall 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 Machine Learning, Analytics, Quant Psychology, Economics, or Biostatistics Benefits Health, life, disability, financial, and retirement benefits Paid leave Professional development Tuition assistance Work-life programs Dependent care Recognition awards program Company Overview Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. It was founded in 1914, and is headquartered in Mclean, Virginia, USA, with a workforce of 10001+ employees. Its website is