Role overview
OXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before.
The Director of Data Science and Data Engineering at OXIO plays a pivotal role in leading and shaping our data-driven strategy. This person will report directly to the CTO. This technological leadership position involves spearheading the development of an AI-powered data layer that underpins our network infrastructure, products, and customer experiences. The Director will be responsible for overseeing both the Data Science and Data Engineering teams, driving innovation, optimizing data processes, and leveraging advanced analytics to enhance operational efficiency and customer satisfaction. The role would be pivotal for making OXIO the first AI-powered telecom network layer. We are seeking a seasoned professional with a proven track record in building and leading high-performance teams, coupled with a deep understanding of the data stack and a passion for leveraging data to drive business success.
What you'll work on
Key Qualifications:
- Master's or Ph.D. in a relevant field such as Computer Science, Data Science, Engineering, or a related quantitative discipline
- Proven track record of at least 8-10 years in progressively responsible roles within data engineering or related fields
- Expertise in data engineering, including proficiency in designing and implementing scalable data architectures, data pipelines, and ETL processes
- Demonstrated experience in a leadership or executive role, preferably as a Senior Manager / Director of Data Engineering or a similar position
- Familiarity with real-time analytics architectures and tools such as Kafka, Flink, Apache Pinot, Druid, or similar
- Knowledge of data science methodologies, machine learning, and artificial intelligence, with hands-on experience in deploying and managing AI solutions
- Thorough understanding of telecommunications and/or technology industry, including knowledge of network infrastructure, emerging technologies, and industry trends
- Ability to develop and execute a comprehensive data strategy aligned with organizational goals, contributing to the long-term success and competitive advantage of the company
What We Offer:
- Competitive salary and stock option incentive program
- Company paid healthcareFlexible work arrangements
- Company sponsored team-lunches and company retreats
- International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
- A diverse and inclusive team
- We welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or other defining characteristics
Tags & focus areas
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