Description

Ookla® is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest®, Downdetector®, RootMetrics®, and Ekahau®. Ookla’s complementary datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights — helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.

Our team is a group of people brought together through passion and inspired by possibility. We are looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all.

Role Summary

As a Principal Data Science Engineer , you will provide critical solution development across a broad portfolio of data-driven products. You retain a combination of functional knowledge and execution skills in leveraging SQL, Python, R, dbt, AirFlow, Spark, Glue, and other AWS stack products. We prefer candidates with network telemetry acumen.

Additionally, you have strong critical thinking and analytical skills with a proven track record in executing solutions from planning to delivery. You understand agile methodologies and are committed to the continuous improvement of your solutions.

As a member of the Data Science team, you will work to build scalable, automated products for our global clients using fixed and mobile data sets and models.

Specific responsibilities include but are not limited to:

Perform duties related to business analysis, such as scoping, documentation, project management, and related activities
Work closely with Data Scientists to turn methodology into scalable, viable products
Work closely with Data Engineering to maintain project success and deliverables

Qualifications

Master's or Bachelor's degree in a relevant field (such as Computer Science, Information Systems, Data Science, or a related discipline).
8+ years of experience in a data analyst, developer, architect, or similar position
Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java)
Strong background and 3+ years of direct experience working with Python
Experience with high volume distributed data processing in Spark
Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management
Excellent troubleshooting and analysis skills
Excited to learn and work with new technologies in a dynamic environment
Strong communication skills both in person and via virtual mediums
Strong time management skills and a self driven work ethic
Experience with AWS cloud services is a plus
Experience with event driven architecture and streaming data pipelines is a plus
Background check required