Staff Data Science Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Advanced degree (Masters or Ph.D.) in Computer Science, Statistics, Mathematics, or related quantitative field, or equivalent work experience with a Bachelor's degree
8+ years of proven experience in data science, machine learning, with a focus on fraud detection or risk management in subscription-based businesses or financial services
Expertise in machine learning techniques, including supervised and unsupervised learning, anomaly detection, and ensemble methods
Proficiency in programming languages such as SQL, Python or R
Proficiency in technologies related to large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark)
Exposure to using AI agents and LLM (Large Language Model) for any of the projects
Excellent communication and leadership skills, with the ability to collaborate effectively with cross-functional teams and drive alignment on fraud detection strategies
Proven track record of leading complex data science projects from conception to production deployment, delivering tangible business value
Experience with fraud detection tools and platforms (e.g., fraud detection APIs, fraud management systems) is highly recommended

Responsibilities

Detect emerging fraud and abuse across various platforms and products
Automate manual workflows to build efficiencies and scale up fraud prevention, investigations and operational workflows
Expert in data analyses and improve tools and processes through technical expertise
Sound data visualization skills with ability to tell the story to key partners
Translate investigations and intel into root cause analysis to find opportunities for scale
Infuse data and insights into every product development phase to detect fraud trends, automate processes, and provide data driven insights to protect Adobe’s revenue and maintain customer trust
Drive discussions at the intersection of data science and product management, working with different partners across Adobe to build best in class fraud detection capabilities

Skills

Data Science

Machine Learning

Fraud Detection

Data Analysis

Data Visualization

Root Cause Analysis

Statistics

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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