Job Description

Staff 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 Staff 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

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.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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