Adobe · 12 hours ago
Product Data Scientist, Applied ML
United States
Full-time
Remote
Mid, Senior Level
$109K/yr - $201K/yr
4+ years expAdobe is a company focused on changing the world through digital experiences. The Product Data Scientist role involves applying machine learning and advanced analytics to improve customer value from Adobe’s enterprise products, while collaborating with various teams to derive actionable insights.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Design, build and productionize machine-learning models that generate insights, segment users, predict outcomes, and drive measurable business impact
Analyze product usage and customer datasets to uncover behavioral patterns, feature adoption trends, and growth opportunities
Build and maintain robust data workflows that clean, transform, and validate structured and unstructured data using scalable tools and platforms (such as Databricks, Spark or similar)
Develop reproducible codebases, notebooks, and utilities that improve efficiency, consistency, and collaboration across analytics and ML projects
Practice and promote strong data practices, including transparency, version control, reproducibility, and compliance with governance and security requirements
Visualize and communicate analytical results clearly, presenting findings and recommendations that enable partners to make data-driven decisions
Collaborate cross-functionally with product managers, marketers, engineers, and other data scientists to define data science questions, develop solutions, validate outcomes, and translate results into actionable insights
Qualification
Required
Proficiency in Python and SQL, with hands-on experience in data manipulation and applied machine learning using libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn
Proven ability in designing and implementing scalable data and feature pipelines using distributed frameworks such as Spark or Databricks, ensuring data quality, performance, and reproducibility
Strong foundation in statistics and experimental design, including hypothesis testing, regression, and model evaluation
Ability to apply software-engineering standards; modular, well-documented code, version control (Git), reproducible workflows, and testing for model and data quality
Strong problem-solving and critical-thinking skills, with the ability to work rigorously through ambiguity and make sound technical decisions
Collaborative approach and effective communication skills, being able to translate complex technical results into clear insights and work closely with cross-functional partners
4+ years of relevant experience in data science or related technical roles, preferably within applied machine learning or product data science environments
Postgraduate degree or equivalent experience in a quantitative field (such as Statistics, Computer Science, Data Science, Engineering, or related field)
Preferred
Familiarity with NLP, LLMs or Generative AI, including embeddings, topic modeling, prompt engineering, or retrieval-augmented generation (RAG)
Exposure to MLOps and workflow practices that support scalable, reliable analytics and model deployment (model versioning, monitoring, automation)
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2026-01-11
2026-01-09
Chicago Tribune
2026-01-09
Company data provided by crunchbase