Marketing Operations Specialist III [AQ-11538]

Aquent Talent connects skilled professionals with leading global brands. Eligible talent gain access to benefits including subsidized health, vision, and dental plans, paid sick leave, retirement plans with a company match, and free online training through Aquent Gymnasium.

About the role

Join a globally recognized organization at the forefront of innovation, driving progress through cutting-edge technology and impactful environmental initiatives. This role offers the opportunity to revolutionize how millions of users interact with digital services by shaping the future of on-device communications and automation. You will leverage expertise in AI/ML and analytics to deliver timely, strategic in-app messaging to a vast global audience.

Responsibilities

• Lead the design, implementation, and optimization of AI/ML solutions to uncover ecosystem patterns and resolve complex business and operational challenges.
• Develop and implement predictive systems, selecting appropriate algorithms, performing feature engineering, and fine-tuning model performance to extract actionable insights.
• Drive end-to-end AI/ML technical development, including roadmap definition, model creation, API integration, data collection integrity, and robust data pipeline management.
• Ensure data integrity and accuracy throughout the analysis lifecycle, guaranteeing reliable, decision-ready findings.
• Maintain and enhance dashboards, and design automated reports that provide timely, accurate insights for both technical and non-technical stakeholders.
• Collaborate with cross-functional teams, including data engineers, software engineers, and business stakeholders, to identify new opportunities for AI/ML applications and communicate complex findings.

Requirements

• At least 5–7 years of professional experience in AI/ML design and implementation.
• Strong experience designing, developing, and implementing AI and ML models, including deep learning and neural networks, to solve business problems.
• Proven experience with Large Language Models (LLMs) integration and advanced techniques such as prompt engineering.
• Solid foundation in programming languages like Python (with libraries such as Pandas, NumPy, Scikit-learn), R, and SQL.
• In-depth knowledge of machine learning algorithms (e.g., regression, classification, clustering, decision trees, random forests, neural networks) and frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in data wrangling (cleaning, transformation), feature engineering, and data manipulation.
• Demonstrated ability to challenge the status quo through data-driven results and strong cross-functional execution.
• Skilled in data analysis and creating insightful visualizations using tools like Tableau.
• Experience with SAS/CRM platforms.
• BA/BS or an advanced degree in Data Science, Engineering, Analytics, or a related field.

Skills

• Curiosity and adaptability
• Collaboration and business acumen
• Strong attention to detail

About the client

Our client is a global leader in consumer technology, renowned for redefining the intersection of hardware, software, and services. They are committed to world-class design and user experience, creating products essential to daily life. You will join a team that values craftsmanship and simplicity, working on high-impact projects reaching hundreds of millions of people worldwide.