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Lead Data Engineer
4 months ago
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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