Samsung

3 weeks ago

Professional III, Sales Administration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead end-to-end delivery of production-grade machine learning software for Samsung Ads, designing, developing, and deploying scalable models to optimize KPIs such as pCTR, app installs, ROAS, and retention. Research new ML methods, prototype quickly, and deploy to production while analyzing large-scale advertising data. Collaborate with internal ML teams (platform, serving, and MLOps) and global partner teams, and mentor junior engineers.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Mid level

Key Responsibilities

•Deliver production-grade machine learning software end-to-end to support Samsung Ads in the mobile ads market.
•Design, develop, and deploy scalable ML models to optimize ads click, app installs, ROAS, and retention.
•Research ML technologies and quickly prototype and deploy new solutions into production.
•Analyze complex problems using large advertising datasets, identify gaps, and propose and execute technical proposals.
•Collaborate with internal and cross-functional teams (including ML platform, serving, and MLOps) and mentor junior engineers.

Pay and Benefits

Salary: USD 145,018 - 155,018 annually

Perks:MedicalDentalVisionLife Insurance401kPaid LeaveTuition AssistanceStudent LoanWellness Stipend

Key Requirements

•Master’s degree (or equivalent) in Data Science, Electrical Engineering, Bioinformatics, Biostatistics, or related field, plus five years of experience in the role or related occupation.
•Five years of experience implementing advanced Excel functions (including Pivot Tables, Power Query) and dashboards to consolidate sales/marketing data and drive KPI improvements.
•Build, manage, and evolve KPI dashboards using data aggregated from Excel and Python, analyzing sales performance and trends to recommend decisions in real time.
•Validate, clean, aggregate, merge, and prepare data for reporting, trend analysis, and scenario planning.
•Apply time series techniques to model seasonality, promotional impact, and demand patterns to improve forecast accuracy; plus three years combining data from multiple sources and systems for consistent reporting.

Experience:5+ yearsMachine learningAdvertisingBig dataSales analyticsTime series

Education:Master's in Data Science, Electrical Engineering, Bioinformatics, or Biostatistics

Skills:MentorshipTechnical guidanceProblem-solvingCollaborationResearch

Tech Stack:Machine LearningTensorFlowPyTorchSpark MLMapReduceSparkFlinkKafkaExcelPower QueryPythonDashboardsPivot TablesMLOps

Company Brief

Samsung

Global conglomerate known for consumer electronics, home appliances, semiconductors, displays, and mobile devices. Designs and manufactures a wide range of products and solutions for consumers, enterprises, and industrial customers worldwide.

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Seoul, South Korea

Founded: 1938

Glassdoor: 3.7

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Samsung

3 weeks ago

Professional III, Sales Administration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Mid level

Key Responsibilities

•Deliver production-grade machine learning software end-to-end to support Samsung Ads in the mobile ads market.
•Design, develop, and deploy scalable ML models to optimize ads click, app installs, ROAS, and retention.
•Research ML technologies and quickly prototype and deploy new solutions into production.
•Analyze complex problems using large advertising datasets, identify gaps, and propose and execute technical proposals.
•Collaborate with internal and cross-functional teams (including ML platform, serving, and MLOps) and mentor junior engineers.

Pay and Benefits

Salary: USD 145,018 - 155,018 annually

Perks:MedicalDentalVisionLife Insurance401kPaid LeaveTuition AssistanceStudent LoanWellness Stipend

Key Requirements

•Master’s degree (or equivalent) in Data Science, Electrical Engineering, Bioinformatics, Biostatistics, or related field, plus five years of experience in the role or related occupation.
•Five years of experience implementing advanced Excel functions (including Pivot Tables, Power Query) and dashboards to consolidate sales/marketing data and drive KPI improvements.
•Build, manage, and evolve KPI dashboards using data aggregated from Excel and Python, analyzing sales performance and trends to recommend decisions in real time.
•Validate, clean, aggregate, merge, and prepare data for reporting, trend analysis, and scenario planning.
•Apply time series techniques to model seasonality, promotional impact, and demand patterns to improve forecast accuracy; plus three years combining data from multiple sources and systems for consistent reporting.

Experience:5+ yearsMachine learningAdvertisingBig dataSales analyticsTime series

Education:Master's in Data Science, Electrical Engineering, Bioinformatics, or Biostatistics

Skills:MentorshipTechnical guidanceProblem-solvingCollaborationResearch

Tech Stack:Machine LearningTensorFlowPyTorchSpark MLMapReduceSparkFlinkKafkaExcelPower QueryPythonDashboardsPivot TablesMLOps

Company Brief

Samsung

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Seoul, South Korea

Founded: 1938

Glassdoor: 3.7

Website LinkedIn