Machine Learning Scientist 5 - Sales, Ads DSE

Netflix
Panama
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Strategic thinking","Problem-solving","Proactive learning","Stakeholder management"]

Own the ML vision and end-to-end execution for Ads Sales productivity and automation. Partner with Product, Engineering, and Sales stakeholders to identify high-friction workflow opportunities, build AI agents and assistants, and design the Sales pod’s AI/ML investment roadmap. Create production ML models and automation systems, work with Analytics Engineers on measurement pipelines, and iterate using performance data and seller feedback to drive measurable revenue and efficiency gains.

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FursaFursa
Netflix
Netflix
5 months ago

Machine Learning Scientist 5 - Sales, Ads DSE

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Own the ML vision and end-to-end execution for Ads Sales productivity and automation. Partner with Product, Engineering, and Sales stakeholders to identify high-friction workflow opportunities, build AI agents and assistants, and design the Sales pod’s AI/ML investment roadmap. Create production ML models and automation systems, work with Analytics Engineers on measurement pipelines, and iterate using performance data and seller feedback to drive measurable revenue and efficiency gains.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Define the AI/ML investment roadmap for the Sales pod with Product and Engineering, prioritizing data science opportunities.
  • •Design, build, and deploy production ML models, AI agents, and automation systems end-to-end.
  • •Partner with Analytics Engineers to build metrics, measurement pipelines, and reporting to guide investment decisions.
  • •Iterate on launched products using performance data and seller feedback with measurable business impact.
  • •Act as a senior technical voice in cross-functional discussions, communicating with technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid LeaveDisability

Key Requirements

  • •PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • •Independently scope and lead end-to-end ML projects in production environments with measurable impact.
  • •Strong strategic acumen to translate business objectives into a prioritized technical roadmap.
  • •Comfort working in ambiguous settings with proactive, curious problem-solving.
  • •Proficiency in Python and SQL for building ML pipelines and models.
Education:Master's in Computer Science, Statistics, Mathematics, or related quantitative field
Skills:CommunicationStrategic thinkingProblem-solvingProactive learningStakeholder management
Tech Stack:PythonSQLLLMsAIAgentic systems

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
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Glassdoor: 4.1
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