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.
Requirements
- 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)
- 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
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.
- 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.
- 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.
Other
- Due to the nature of work performed within this facility, U.S. citizenship is required.
- Communicate effectively across a highly matrixed organization and at different levels, think and act strategically, and influence key leaders.
- 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
- As part of the application process, you are expected to be on camera during interviews and assessments.
