About the job
About Annalect
Annalect is the Data & Technology arm of Omnicom Media Group
Annalect’s 2,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter — whether that means fostering consumers’ trust in brands, building new experiences, or delivering advanced analytics where it’s most needed. Annalect is the driving force behind Omni, Omnicom’s unique open operating system, which works hand-in-hand with clients’ and partners’ data and tools, to orchestrate better marketing outcomes.
Annalect’s unique approach to data and technology – one that relies on transparency, neutrality, and interoperability – allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients.
Team Overview
We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We’re looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.
Position Overview
As a member of the Annalect data science generative AI team, you will assist with efforts across developing enterprise-level AI agents integrated with our media orchestration platform. Your knowledge in machine learning and generative models will be crucial to expanding the scope of our media platform.
Key Responsibilities
- Hands-on Python development for new and established AI agents integrated with our media orchestration platform.
- Collaboratively ideating and building tools with engineering teams to produce scalable, enterprise-level code.
- Assist with fine-tuning use cases across Annalect’s AI development.
Required Skills And Qualifications
- 2 to 3 years of relevant industry experience.
- Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields. Advanced quantitative degree or intensive bootcamp experience is preferred.
- Must have hands-on expertise in Python; SQL proficiency preferred.
- Experience with cloud computing such as AWS, Google Cloud Platform and Azure preferred.
- Experience with natural language processing.
- Working knowledge of transformer-based language models and architecture.
- Basic understanding of model performance – RAG, fine tuning, prompting, etc.
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