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Data Science Engineer

Adobe
  • New York
    4 days ago

    Job Description

    The Opportunity
    Adobe Firefly is redefining how people create, not only inside Adobe's own apps, but increasingly wherever creativity happens. Our generative AI is now reaching users directly through third-party agentic surfaces like ChatGPT, Claude, and Gemini, where people call Adobe's tools without ever opening a traditional Adobe product. Understanding how these experiences are adopted, where they delight, and where they fall short is one of the most exciting and least-charted data problems at the company.

    We're looking for a Senior Data Science Engineer to help us make sense of it. You'll build the data foundations and generate the insights that shape how our Firefly agent, and the tools it exposes across partner platforms, evolves. You'll partner closely with our Third-Party (3P) team, which owns how Firefly is accessed through external agents and assistants, while staying connected to the broader Firefly data picture. This is a hands-on role for someone who loves
    turning messy, high-volume, ambiguous data into production-ready pipelines and decisions leadership can act on fast.

    What You'll Do

    • Design and analyze experiments: conduct sound statistical analysis (hypothesis testing, A/B experimentation), recognizing errors and biases and weighing the pros and cons of approaches within the business context.
    • Turn data into direction: identify patterns and actionable insights that inform product strategy, prioritization, and roadmap decisions for the Firefly agent and its tools across partner platforms.
    • Be a data steward: develop deep domain intuition for the agentic/3P ecosystem, take on ambiguous business problems, and make well-reasoned assumptions grounded in that understanding.
    • Tell the story: interpret, simplify, and synthesize results for technical and non-technical stakeholders, and communicate findings that help decision-makers move quickly and confidently.
    • Own end-to-end data products: Support our data engineering team with the build and maintenance of scalable, automated, and reliable data pipelines that consolidate diverse, high-volume, and often unstructured usage data from across Adobe's agentic and third-party surfaces.
    • Write production-quality code: apply best practices in coding, testing, and architecture design; review others' code and provide effective feedback; and build tools and processes that benefit multiple teams.
    • Drive projects to completion: independently manage one or more technical projects start to finish with minimal managerial guidance, and begin to lead initiatives that inform broader team strategy and goals.
    • Partner cross-functionally: collaborate with Product Management, Engineering,
    • Design, and partner-facing teams to define customer-focused, measurable solutions.
    • Raise the bar: mentor junior data scientists/engineers, share knowledge across and beyond the immediate team, and help establish best practices; contribute to hiring through technical interviewing.

    What You Need to Succeed

    • 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, or equivalent experience; Master's preferred.
    • Strong skills in at least one programming/data-manipulation language (e.g., Python, SQL, Scala) and the ability to query and integrate data from multiple disparate sources.
    • Proven experience architecting and maintaining scalable, automated data pipelines and owning large-scale data products across multiple data sources and integrations.
    • Solid grounding in statistics and experimentation, with the judgment to recognize bias and error and to interpret results in a business context.
    • Excellent data storytelling, able to synthesize complex analysis for both technical and non-technical audiences.
    • Comfort with ambiguity and unstructured problems; a self-directed worker who thrives with minimal structure.
    • Bonus: exposure to LLM/agentic products, product analytics for AI/ML applications, or usage-data instrumentation for platform or partner ecosystems

    About Adobe

    Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.


    Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 


    Let’s Adobe together

    At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.


    Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.


    Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email

    accommodations@adobe.com

    .


    AI Use Guidelines for Interviews:
    Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.


    At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

     

    Expected Pay Range:

    Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $154,900 -- $281,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

     

    In New York, the pay range for this position is $194,000 - $281,000

    At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

    In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

    State-Specific Notices:

    California:

    Fair Chance Ordinances

    Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

    Colorado:

    Application Window Notice

    If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

    Massachusetts:

    Massachusetts Legal Notice

    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

    Numbers & Facts

    LocationNew York
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1982
    Websitehttp://www.adobe.com/

    About Company

    Adobe is the global leader in digital marketing and digital media solutions. Our tools and services enable our customers to create groundbreaking digital content, deploy it across media and devices, measure and optimize it over time, and achieve greater business success. We help our customers make, manage, measure and monetize their digital content across every channel and screen.

    Digital media

    Adobe helps creative professionals, publishers, developers, and businesses create, publish, promote, and monetize their content anywhere.

    Digital marketing

    Our digital marketing solutions combine content and data, personalization, experience management, and social capabilities so businesses can move faster from data to insights to action.

    Skills

    • A/B Testingunmatched
    • Adobe Acrobatunmatched
    • Adobe Product Familyunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Communication Skillsunmatched
    • Compensation and Benefitsunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Customer Relationsunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Ecosystemsunmatched
    • Establish Prioritiesunmatched
    • Experiment Designunmatched
    • Instrumentationunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Multiplatform/Cross-Platformunmatched
    • Product Engineeringunmatched
    • Product Strategyunmatched
    • Product Supportunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Assurance Methodologyunmatched
    • SQL (Structured Query Language)unmatched
    • Scala Programming Languageunmatched
    • Statisticsunmatched
    • Storytellingunmatched
    • Technical Recruitingunmatched
    • Test Designunmatched
    • Unstructured Dataunmatched

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