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Professional III, Sales Administration

Job in Edina, Hennepin County, Minnesota, USA
Listing for: Samsung Electronics Perú
Full Time position
Listed on 2026-07-03
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 145018 - 155018 USD Yearly USD 145018.00 155018.00 YEAR
Job Description & How to Apply Below

Position Summary

Position Title:

Professional III, Sales Administration

Location:

Edina, MN
Job
MULTIPLE POSITIONS AVAILABLE

Position Responsibilities

Lead and deliver 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.
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 Tensor Flow, PyTorch, and Spark ML) as well as Big Data tools (Map Reduce, 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.

Position 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.
  • Employer will accept 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 as equivalent to the Master’s degree and five years of experience.
  • Must have 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;
    • 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;
    • validating, cleaning, aggregating, merging, and preparing data to support reporting, trend analysis, and to simulate scenario planning;
    • applying time series techniques to understand seasonality, promotional impact, and demand patterns, improving forecast accuracy.
  • Must have 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.

Hours:

Full Time, 40 hours/week.
Salary Range: $145,018/year to $155,018/year.

Benefits

Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 1 year), Paid Time Off, Student Loan Program (after 1 year), Wellness Incentives, and many more.

Equal Employment Opportunity
  • 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

During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities. For accommodation requests contact the Reasonable Accommodation Team at 855‑557‑3247 or

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