Data Scientist

Adobe Systems
San Jose, CA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Data-Flow Analysis Machine Learning Adobe Suites

Job description

Experteer Overview In this role you will use data to guide product decisions and growth for Adobe Express. You will collaborate with product managers and leadership to shape a machine learning roadmap and optimize user journeys. You’ll design and analyze experiments, translating results into actionable product enhancements. You work cross-functionally to ensure robust data foundations and foster a culture of experimentation. This is a hands-on, impact-focused role at a high-growth, AI-enabled product team. Compensation / Benefits * Dive into Adobe Express data to identify product and business opportunities * Develop and implement a machine learning strategy and roadmap * Collaborate with product teams and leadership to inform business strategy and roadmaps * Design, run, and analyze A/B experiments and deliver insights * Promote a data-driven culture and share insights to drive innovation * Coordinate with development teams on instrumentation, user flow analysis, and data capture Tasks * 2+ years of hands-on data science experience * Experience in ML modeling and data inference * Strong ability to explore large datasets and translate insights into results * Proven track record of communicating findings to product and commercial leaders * Self-starter who takes ownership and drives solutions to completion Key requirements * comprehensive benefits programs

Requirements

_ Tasks * 2+ years of hands-on data science experience * Experience in ML modeling and data inference * Strong ability to explore large datasets and translate insights into results * Proven track record of communicating findings to product and commercial leaders * Self-starter who takes ownership and drives solutions to completion Key requirements * comprehensive benefits programs

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