AI and Data Science Engineer II
Indexed description
Recruiting for this role ends on Dec 11, 2026
Work you'll do
As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...
- Translating business goals into machine learning use cases and model design approaches.
- Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
- Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
- Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
- Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Qualifications
Required:
- Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
- 2+ years of industry experience outside of academia applying data science or machine learning methods
- Experience translating business goals into machine learning use cases and model design
- Experience performing exploratory data analysis and developing predictive models
- Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
- Experience manipulating large marketing data sets and performing extract, transform, and load activities
- Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
- Experience with data sets generated in advertising technology or marketing technology environments
- Experience presenting complex data insights to non-technical audiences
- Experience with deep learning architectures or reinforcement learning
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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