Job Description

The Opportunity:

We are seeking a talented individual to join our innovative Data Science team, a center of excellence within our Corporate Strategic and Operations division. This is an excellent opportunity to learn from experienced professionals and contribute to impactful projects that support senior management and diverse publications across our core media business.

About the Team:

You will be an integral part of a collaborative cross-functional team, working alongside fellow Data Scientists, Data Analysts, Data Engineers, and Software Engineers. Our team is dedicated to developing sophisticated data products that enhance operational intelligence and solve real-world business challenges. We thrive on exploring new technologies and innovating solutions that push the boundaries of data and AI.

What You'll Do (Key Responsibilities) :

As a key contributor, you will work closely with the team to assist with and drive projects through their entire lifecycle. Your responsibilities will include, but are not limited to: Assisting with ML Solutions: Collaborating on the development, and maintenance of machine learning models, with a focus on continually improving our recommendation systems to enhance consumer experience and engagement. Learning and Innovating with AI: Assisting in the implementation of automation solutions, particularly incorporating advanced AI/ML models (including LLMs and Generative AI) into our corporate AI portal. Strategic Collaboration: Collaborating with MLOps engineers and the broader team to deploy and maintain models in production, and ensuring efficient feature management and data pipelines. Experimentation & Prototyping: Performing small-scale proof-of-concept studies and exploratory experiments to evaluate new data science techniques and technologies, and contributing to the development of early-stage prototypes.

What We're Looking For

Essential Qualifications:

Education

: A strong university degree in Statistics, Engineering, Mathematics, Physics, Computer Science, Operations Research, or a closely related quantitative field.

Professional Experience:

Some professional experience as a Data Scientist, with demonstrated knowledge in at least one of the following areas: Natural Language Processing (NLP) Recommendation Systems (development and deployment) User Profiling & Look-alike Models

Programming Proficiency:

Strong proficiency in Python and its associated data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) .

Database Skills:

Strong command of SQL for data manipulation and analysis, and familiarity with relational databases.

Problem Solving & Independence:

A strong track record of technical problem-solving and an eagerness to learn and contribute with guidance from the team.

Analytical Rigor:

Comfortable manipulating, analyzing, and deriving insights from complex, disparate data sources.

Highly Desired Skills & Experience (Big Pluses) :

Advanced ML/AI: Exposure to or interest in productionizing Large Language Models (LLMs) and Generative AI solutions. Media Industry Experience: Experience working in the media industry, with a keen understanding of digital engagement or user profiling is highly valued. NoSQL Databases: Knowledge of NoSQL databases (e.g., MongoDB, OpenSearch, Elasticsearch) . * Cloud & Containers: Experience with cloud platforms (e.g., AWS) and/or containerization technologies (e.g., Docker, Kubernetes) .