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    Lead Data Engineer - Mountain View, United States - Samsung Ads

    Samsung Ads
    Samsung Ads Mountain View, United States

    2 weeks ago

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    Description

    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.

    #LI-CT1

    #Hybrid

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