Manager - Data Science (AI Solutions)

Remote, MD, United States

dentsu international

At dentsu, innovation is our strength, and your growth is our mission. We help you keep up with technological changes in the digital economy.

View company page

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 unmatched 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 9,600+ employees, Merkle is headquartered in Columbia, Maryland, with 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 lead marketing effectiveness.
  • Collaborate with many teams, including marketing professionals, data engineers, and product managers, to understand our goals 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 up to date with the latest research and advancements in generative AI and propose solutions to grow customer engagement and improve marketing strategies.
  • Mentor and provide guidance to junior data scientists, encouraging a collaborative and knowledge-sharing environment.

 

Qualifications

  • Master's or higher degree in Computer Science, Data Science, or a related field.
  • Experience (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. Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography.  A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit dentsubenefitsplus.com. #LI-Remote #LI-AG1

About dentsu 
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society www.dentsu.com

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying. 

Apply now Apply later
  • Share this job via
  • or

Tags: Architecture Computer Science CX Data analysis Deep Learning EDA Generative modeling Keras Machine Learning Nonprofit Probability theory Python PyTorch Research Scikit-learn Spark Statistics TensorFlow

Perks/benefits: Career development Competitive pay Health care

Regions: Remote/Anywhere North America
Country: United States
Job stats:  8  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.