Overview
As a Lead Data Scientist, you will be responsible for leading significant role-specific project work as a part of a larger cross-functional team in support of one or more lines of business. Lead Data Scientists typically leverage and implement pre-defined analytics patterns and infrastructure on projects that are moderately complex, requiring working knowledge of a more limited set of machine learning or advanced modeling approaches. They must be able to quickly learn new subject-matter in support of a specific project or task. Our Lead Data Scientists typically work with latitude for action or decisions on specific projects, solutions, or technical issues.
The Lead Data Scientist, People Analytics will support multiple audiences across the People and Planning Department, including DE&I, Organizational Strategy and Planning, and Talent Experience, by applying a broad suite of advanced analytics techniques to identify drivers of key talent outcomes and to predict likely future outcomes in order to shape recommendations. This role will be required to maintain confidentiality of sensitive, personal data related to Staff, contingent workers, and occasionally Operators and Team Members.
Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.
Responsibilities
The person who fills this role will be expected to do the following as a part of their regular work responsibilities:
- Apply statistical models and analysis to identify key drivers and causal relationships that predict talent and candidate outcomes
- Partner with Staff Listening Program Lead and teams across the People & Planning department to develop models to measure talent experience
- Employ theme extraction/identification and driver modeling in support of Staff survey analytics and other listening initiatives
- Partner with Talent Planning to implement a scientific approach to headcount modeling integrating business judgment, measurable drivers, and cost factors
- Machine learning mining and analysis of unstructured job description and talent data to support skills and capability gap analysis
- May design and implement analytic workflows via Alteryx Apps, as needed.
- Acts as an individual contributor on project engagements and is responsible for implementing data science best practice in their work, including an emphasis on bias evaluation of solutions
- Ability to partner with others to distill complex models and methods into actionable recommendations and insights for leaders
Minimum Qualifications
- Bachelor’s degree or 3-5 years of equivalent work experience
- Experience working with and maintaining confidentiality of sensitive and/or regulated data
- Strong applied understanding of statistics and statistical modeling
- Applied understanding of modern machine learning and its mathematical underpinnings
- Moderate proficiency with SQL, Python and/or R
- Ability to partner with cross-functional teams using strong written and verbal communication
- Possesses a keen eye for systems thinking and process design, especially with respect to scalability and automation
- Attention to detail and thoughtful investigation of data
- Provides a steadfast focus on creating impactful change
Preferred Qualifications
- Databricks, GitHub, or similar versions for modeling
- Bachelor’s Degree in Quantitative or Technical degree program
Minimum Years of Experience
3
Travel Requirements
10%
Required Level of Education
Bachelor's degree or equivalent experience
Preferred Level of Education
Bachelors Degree
Major/Concentration
Quantitative or Technical
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