Lead Data Engineer - Samsung Ads

Position Summary

Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We are seeking a highly skilled and experienced front-end staff engineer to join our dynamic team and help shape the future of the ad tech industry. We seek a talented Lead Data Engineer to play a pivotal role in enhancing our platform’s performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.

Responsibilities

Develop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion.

Collaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies.

Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.

Work closely with stakeholders to understand and translate business requirements into technical solutions.

Conduct A/B testing and performance analysis to validate and iterate on attribution models.

Stay updated on industry trends and emerging technologies related to attribution modeling and ad tech.

Skills and Qualifications

Bachelor’s or Master’s in Computer Science, Data Science, or a related field.

Requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years

Proven experience in attribution modeling within the ad tech industry.

Strong programming skills in Python, Java, or Scala.

Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)

Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).

Hands-on experience with orchestration tools like Airflow or similar

Solid understanding of statistical concepts and experience with relevant tools.

Excellent problem-solving and communication skills.

Preferred Qualifications

Experience with machine learning techniques for attribution modeling.

Familiarity with real-time data processing and streaming technologies.

Knowledge of end-to-end digital advertising ecosystems and industry standards.

Knowledge of Snowflake and related technologies

California Only

Compensation for this role is expected to be between $200,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

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