Corporate AI and Machine Learning Engineer

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 you develop highly original solutions for People Services and introduce new ideas that deliver deep visibility and insights.

Bring your analytical mindset and passion for change to lead the transformation of people analytics. Due to the nature of work performed within this facility, U.S. citizenship is required. 

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, 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.

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, CS, Industrial Psychology, 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 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

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 $77,600.00 to $176,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.