Halcyon is building the most resilient anti-ransomware platform on the market, and we need a Senior Security Data Engineer to power our data infrastructure. You'll be responsible for building and maintaining the robust data pipelines that ingest, process, and deliver critical security data, which powers our decisions and analytics. In this role, you'll implement and operate large-scale data systems that handle large volumes of behavioral, network, file, and product signals.
Job listings
Be a key part of our Analytics Engineering team within the Data Science organization, focused on the Safety domain. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Be the Analytics Engineering lead within the Safety organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives. Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
A world-class data science contributor is needed as a Staff Data Scientist. This opportunity will allow operation at the highest levels of technical, strategic, and organizational impact, helping shape the future of a global entertainment platform. You will serve as a thought leader across multiple domains to influence the companyโs strategic decisions through quantitative insights, modeling, and experimentation.
Join Yelpโs Trust & Safety as a Machine Learning Engineer focused on infrastructure for the Spam team, which is responsible for Yelpโs review recommendation software. In this role, you will shape Yelp's ML infrastructure and contribute to core machine learning model development and experimentation to safeguard the authenticity & the integrity of a platform used by millions.
Join Tubi's growing Data Science team as a Senior Data Scientist and help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. Lead end-to-end analytical projects that shape viewer experience and expand audience. Collaborate with content strategy, data engineering, product managers, and executives to embed data and experimentation.
At Source Meridian, they are looking for a Mid Data Engineer with a passion for data and a strong desire to grow professionally that has more than 3 years of experience as a Data Engineer and hold a degree in Systems Engineering or a related field.
You will join a team of data management experts within our Digital Transformation Division to support our clients, detached to a major player in the insurance sector within a squad-organized team and work on a project to develop the Big Data platform. Your missions will include participating in the generation of application imprints from functional specifications, automating the configuration of Big Data environments and ensure a first level of support to projects.
We are looking for a self-directed, analytical, and curious Senior Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). You will work on problems at the intersection of machine learning, large-scale data processing, and ad delivery performance. Your work will directly impact how we bid, win, and optimize impressions across real-time programmatic advertising exchanges.
You'll design, build, and maintain the systems that ingest, transform, and serve data across the company, partnering closely with Data Science, Platform Engineering, and Product Engineering teams to support data-driven product development and decision-making.
As a Lead Data Scientist within the Data Science Methods team, you will drive definition and support of new products and methods development, and improvement initiatives, focusing on innovation in data processing methods for retail measurement and automation of existing statistical procedures. You will define, plan, and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation.