Professional III, Sales Administration

Samsung Electronics•Edina, MN

1d•$145,018 - $155,018•Onsite

About The Position

This position is responsible for leading and delivering production-grade machine learning (ML) software products from end-to-end to ensure that Samsung Ads is a key player in the mobile ads market. The role involves designing, developing, and deploying state-of-the-art and scalable machine learning models for various optimization goals such as ads click (pCTR), app-install optimization, ROAS optimization, and retention. The individual will research the latest machine learning technologies and industry trends, create prototypes of new ML solutions, and deploy them into production. This role requires analyzing complex problems with massive advertising data, identifying gaps, and proposing and executing technical proposals. Collaboration with internal ML teams (ML platform, ML serving, MLOps) is essential to improve Samsung’s codebase and product health. Additionally, the position involves working with cross-functional partner teams globally to deliver new ML features and solutions and achieve business objectives. Mentoring junior engineers and providing technical guidance is also a key responsibility.

Requirements

Master’s degree or foreign equivalent degree in Data Science, Electrical Engineering, Bioinformatics, Biostatistics, or a related field and five years of experience in the job offered or a related occupation.
Alternatively, a Bachelor’s degree or foreign equivalent degree in Data Science, Electrical Engineering, Bioinformatics, Biostatistics, or a related field and eight years of post-baccalaureate experience in the job offered or a related occupation.
Five years of experience in implementing advanced Excel functions, Pivot Tables, Power Query, and dashboards to consolidate sales and marketing data, track KPIs, and drive KPI improvements.
Five years of experience in building, managing, and evolving KPI dashboards, aggregating data from Excel and Python, and analyzing sales performance and trends to recommend business decisions in real time.
Five years of experience in validating, cleaning, aggregating, merging, and preparing data to support reporting, trend analysis, and to simulate scenario planning.
Five years of experience in applying time series techniques to understand seasonality, promotional impact, and demand patterns, improving forecast accuracy.
Three years of experience in combining data from multiple data sources and internal systems, cleansing and transforming datasets, and preparing consistent, reliable data for analysis and reporting.

Nice To Haves

Experience with machine learning libraries (including TensorFlow, PyTorch, and Spark ML).
Experience with Big Data tools (MapReduce, Spark, Flink, and Kafka).

Responsibilities

Lead and deliver production-grade machine learning (ML) software products from end-to-end.
Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, and retention.
Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.
Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.
Leverage prior experience working with machine learning libraries (including TensorFlow, PyTorch, and Spark ML) as well as Big Data tools (MapReduce, Spark, Flink, and Kafka).
Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve Samsung’s codebase and product health.
Work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.
Mentor junior engineers and provide technical guidance.