Data Science Engineer

Adobe Systems
New York
Workplace: OnsiteFull timeUSD 194,000 - 281,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Data storytelling","Communication","Self-direction","Mentorship","Problem-solving"]

Build data foundations and production-ready pipelines that help shape the evolution of an agentic Firefly experience across third-party platforms. Lead statistical analysis and experimentation, turn messy usage data into actionable product insights, and support scalable data products with engineering partners. Communicate results to technical and non-technical stakeholders, drive projects end-to-end with minimal guidance, and mentor junior team members.

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FursaFursa
Adobe Systems
Adobe Systems
23 hours ago

Data Science Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build data foundations and production-ready pipelines that help shape the evolution of an agentic Firefly experience across third-party platforms. Lead statistical analysis and experimentation, turn messy usage data into actionable product insights, and support scalable data products with engineering partners. Communicate results to technical and non-technical stakeholders, drive projects end-to-end with minimal guidance, and mentor junior team members.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and analyze experiments, including hypothesis testing and A/B experimentation, while weighing approaches for business context.
  • •Identify patterns and translate data into actionable insights that guide product strategy and roadmap decisions across partner platforms.
  • •Build and maintain scalable, automated, and reliable data pipelines consolidating high-volume, unstructured usage data from agentic/third-party surfaces.
  • •Create production-quality code and collaborate with the data engineering team, including reviewing others’ code and improving tooling/processes.
  • •Own end-to-end data products and drive technical projects to completion, then communicate findings to technical and non-technical stakeholders while mentoring junior team members.

Pay and Benefits

Salary: USD 194,000 - 281,000 annually
Equity and Bonus:Equity

Key Requirements

  • •6+ years of relevant experience in data science, data/ML engineering, or analytics engineering.
  • •A relevant Bachelor's degree and/or advanced degree in a quantitative or engineering field (Master's preferred).
  • •Strong skills in at least one programming/data-manipulation language (Python, SQL, or Scala) and the ability to integrate disparate data sources.
  • •Experience architecting and maintaining scalable, automated data pipelines and owning large-scale data products across multiple integrations.
  • •Solid statistics and experimentation knowledge, with the ability to recognize bias/error and interpret results in a business context.
Experience:6+ yearsAI/MLData pipelinesProduct analytics
Education:Bachelor's
Skills:Data storytellingCommunicationSelf-directionMentorshipProblem-solving
Tech Stack:PythonSQLScalaLLMs

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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