ML Ops Data Scientist
BlueConduit
CloudNumpyPandasPySparkPythonScalaScikit-LearnSpark
Yield Data Scientist – Ad Tech Experience Required
Freestar
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
SQLTableau
About the role
- Analyze large-scale eventstream and auction data to uncover trends, anomalies, and optimization opportunities.
- Design, test, and implement data-driven strategies for improving publisher yield, bidding dynamics, and revenue outcomes.
- Build and maintain monitoring and alerting for performance and diagnostic issues.
- Lead automating systems and data processes.
- Support A/B testing frameworks as needed.
- Develop predictive models and algorithms to forecast key metrics.
- Translate complex analyses into clear, actionable insights for technical and non-technical stakeholders.
- Collaborate cross-functionally with Engineering, Product, Business Intelligence, Yield Management, and Customer Success teams.
- Conduct root cause analyses for data quality, ad-serving, or system issues, ensuring data integrity and reliable reporting.
- Stay current on industry innovations and apply advanced analytics or machine learning techniques to test new monetization strategies.
Requirements
- Bachelor’s degree (or relevant work experience) in Data Science, Mathematics, Economics, Statistics, Business Analytics, or a related quantitative field.
- Must have minimum 2 years of experience in adtech; with at least 2 years in an analytical or data science role
- Strong knowledge of adtech ecosystems, including header bidding, SSPs, DSPs, GAM, Identity Providers
- Deep familiarity with yield levers such as floors, caching, timeouts, auction dynamics
- Advanced skills in Excel and Google Sheets.
- Expert in SQL and experience with large scale data processing such as BiqQuery.
- Familiarity with data visualization tools (e.g., Tableau, Looker, or similar) and ability to tell compelling stories with data.
- Strong communication skills for translating complex technical findings into actionable recommendations.
- Experience designing and analyzing A/B tests; familiarity with machine learning techniques and LLMs is a plus.
- Highly organized, proactive, and adaptable to a fast-changing industry landscape.
Benefits
- Full-Time, Salaried Position
- The opportunity to be part of something BIG
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysispredictive modelingA/B testingSQLlarge scale data processingExcelGoogle Sheetsdata visualizationmachine learningalgorithms
Soft skills
communicationcollaborationorganizationalproactiveadaptabilityanalytical thinkingproblem-solvingstorytellingleadershiproot cause analysis
