Product Data Scientist, Applied ML at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Software, Digital ExperienceIndustries

Requirements

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)
Familiarity with NLP, LLMs or Generative AI, including embeddings, topic modeling, prompt engineering, or retrieval-augmented generation (RAG) (preferred)
Exposure to MLOps and workflow practices that support scalable, reliable analytics and model deployment (preferred)

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

Skills

Machine Learning

Data Science

Databricks

Spark

Python

Data Workflows

ETL

Data Visualization

Predictive Modeling

User Segmentation

Feature Engineering

Version Control

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.

Open-source alternatives may attract users away from Adobe's subscription model.

Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.

Adobe's subscription model includes special pricing for students, teachers, and businesses.

Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.

Remote work boosts demand for Adobe's cloud-based document management solutions.

AR's popularity in marketing benefits Adobe's 3D and AR tools.

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