
Director, Data Science Platform Engineer
- Chicago, IL
- $140,000-200,000 per year
- Permanent
- Full-time
- Hands-on Python development to build, scale and deploy machine learning pipelines in enterprise systems.
- Lead design and development of visualisations for machine learning modules.
- Collaboratively ideating and building tools with engineering teams to produce scalable, enterprise-level code.
- Lead code review and build best-practice workflows.
- Maintain a live data science application that has an established userbase across the Omnicom network.
- 6 to 8 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 is preferred.
- Must have hands-on expertise in Python, JavaScript and SQL.
- Experience with technologies like Flask, Redis, scikit-learn, AutoML, flaml, D3, node, etc.
- Experience with Python Web Applications/Frameworks is required.
- Experience with cloud computing such as AWS, Google Cloud Platform and Azure preferred.
- Strong understanding of supervised and unsupervised machine learning is required.
- Culture! We have an incredibly fun, collaborative, and friendly environment.
- Generous PTO policy that includes vacation days, personal days, and Summer Fridays, and extended time off during the winter holidays!
- As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a “startup” - we move fast, break things, and innovate.