Data Scientist

Company Description

Re:Sources is the backbone of Publicis Groupe, the world's third-largest communications group. Established in 1998 as a small team serving a few Publicis Groupe companies, Re:Sources has grown to over 4,000 employees providing services to an array of distinguished advertising, public relations, media, healthcare, and digital marketing agencies. We deliver technology solutions and corporate services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies excel at what they do best: creating and innovating for their clients.

In addition to supplying essential daily services to our agencies, Re:Sources designs and advances platforms, applications, and tools to boost productivity, foster collaboration, and enable professional and personal growth. We continuously evolve to keep up with the ever-changing communications industry and are fueled by a global spirit of innovation. With our support, Publicis Groupe agencies continue to create and execute award-winning campaigns for their clients.

Job Description

We are looking for an experienced Data Scientist with relevant industry experience (MarTech and AdTech) to join our development and modelling team to aid the implementation of projects for the Dynamic Content Engine, a platform designed to automate the delivery and optimization of video into programmatic demand side platforms.

About the Team

The team is a diverse group of Machine Learning, AI, Image Modelling and other data science experts. We work directly with the core businesses to conceptualize and create innovative data applications, contributing value to the group and potentially disrupting current processes and business models.

About the Role

Working in a highly collaborative (for now virtual environment), you will support the core DCE development team to build and deliver client engagement for the initial client projects following the POC trials. You will need to be entrepreneurial, proactive, and capable of working with the lead engineer and team to construct the project, identify and report any issues, and collaborate with the team to resolve them.

Responsibilities

• Concentrate on the delivery and optimization of the projects on Facebook, Google’s DV360, and other AdTech Platforms.
• Report and present findings and developments, including results clearly and efficiently, both verbally and in writing.
• Conduct guided research on DCE features and publish findings for internal and external stakeholders.
• Assist the core DCE Product team with productization of POCs.
• Support the core DCE Development team on additional work streams.

Qualifications

The successful candidate will have a wide-ranging skill set including

• 6+ years of overall experience in the field of Data Science.
• At least 6+ years of experience in Vision and Video Modelling.
• At least 6+ years of experience in Data Modelling and Analytics.
• At least 5+ years of experience in Python Development.
• Experience in making research codes production-ready. It's essential that the candidate can write top-tier python code. Good logging, memory management, parallel processing, model management are some skills we expect the candidate to display.
• Industry experience in algorithm delivery and productization of Data Science projects.
• Comfortable with mining unstructured data and ingesting data from various sources such as REST/SOAP frameworks.
• Experience with widely used data analytics and modelling packages. (scikit-learn, pytorch, huggingface, pandas, gensims, skopt, etc.)
• A comprehension of and hands-on experience with optimization, data mining, machine learning, deep learning, and image processing techniques.
• Experience with popular SQL/NoSQL databases (MongoDB, Postgress, Firebase, Redis).
• Experience with REST architectures and relevant python libraries (FastAPI, Pydantic, mypy, flake8).
• Comfortable with working in a remote team structure.
• Ability to adapt to deadlines and solutioning based on Product requirements.
• Good communication and presentation skills, the ability to storyboard your research and ideas is a must.

They will also have

• Experience in various types of programming (imperative, object-oriented, functional, and declarative)
• Experience working in a multi-threaded & concurrent environment and with non-blocking & event-based systems
• Knowledge of Software Design Patterns and Enterprise Architecture Patterns
• An understanding of rapid application development approaches and techniques for mission critical solutions.

Good to have

• Experience with continuous integration, version control systems, and cloud-based services (e.g., Windows Azure, Amazon AWS, Docker, Kubernetes)
• Experience with open vision model offerings (AWS Rekognition)
• Experience with data analytics software (Tableau, Google Data Studio).