Corporate AI and Machine Learning Engineer

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, and 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 youdevelop 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 process 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 businessand 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 ML, Analytics, Quant Psychology, Economics, or Biostatistics

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.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.