AI and Data Science Engineer I

About the Role

As an AI and Data Science Engineer I on the Advertising, Marketing & Commerce team at Deloitte, you will empower organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, and transformative technologies.

Key Responsibilities

• 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.

Requirements & Tech Stack

• Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field.
• 1+ years of industry experience 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.
• Must be legally authorized to work in the United States without the need for employer sponsorship.

Qualifications

• 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.

Preferred Qualifications:

• 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, load (ETL) 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 (AdTech) or marketing technology (MarTech) environments.
• Experience presenting complex data insights to non-technical audiences.
• Experience with deep learning architectures or reinforcement learning.