Senior Manager - Data Science (AI Solutions)

Company Description

Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency's heritage in data, technology, and analytics forms the foundation for its unparalleled skills in understanding consumer insights that drive people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With over 9,600 employees, Merkle is headquartered in Columbia, Maryland, with more than 50 additional offices throughout the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at 1-877-9-Merkle or visit www.merkleinc.com.

Job Description

• Design, develop, and build the latest generative models using deep learning techniques to enhance customer experiences and increase marketing effectiveness.
• Collaborate with various teams, including marketing professionals, data engineers, and product managers, to understand our objectives and define project requirements.
• Conduct exploratory data analysis and preprocessing to ensure quality input data for training generative models.
• Train, fine-tune, and validate generative models on diverse datasets representing customer preferences and behaviors.
• Optimize and refine existing models to improve performance, scalability, and efficiency.
• Evaluate and benchmark generative models against KPI's, comparing them to industry best practices.
• Stay current with the latest research and advancements in generative AI and propose solutions to increase customer engagement and enhance marketing strategies.
• Mentor and provide guidance to junior data scientists, promoting a collaborative and knowledge-sharing environment.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related quantitative field required; advanced degree preferred.
• Experience (1 to 2+ years) as a Data Scientist, with a focus on building Generative AI solutions.
• Theoretical and practical understanding of deep learning architectures.
• Proficiency in machine learning frameworks (such as TensorFlow, PyTorch) and libraries (such as Keras, scikit-learn).
• Solid programming skills in Python, with experience in data analysis, and visualization.
• Mathematical and statistical background, with expertise in probability theory and optimization techniques.
• Experience with large-scale datasets and distributed computing frameworks (e.g., Spark) is desirable.

Additional Information

The anticipated salary range for this position is $94,000-$152,375. Actual salary will be determined by a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits are also available. For more information regarding dentsu benefits, please visit dentsubenefitsplus.com. #LI-AG1