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Advanced Data Scientist for Digital Experience

1 month ago

San Jose, California, United States Adobe Full time

Empowering Digital Transformation

We are seeking a talented Advanced Data Scientist to join our team at Adobe and contribute to the development of innovative solutions that transform the digital experience for our customers. In this role, you will work closely with our research and product teams to build cutting-edge products that leverage machine learning and data science techniques to drive business growth.

About the Opportunity

The ideal candidate will have a strong background in machine learning, data science, and software engineering, with a proven track record of developing and deploying predictive models and data pipelines. You will be responsible for designing and building applications powered by machine learning models, working on traditional engineering problems such as defining APIs, integrating with UIs, and deploying on Cloud services. Additionally, you will engage in product lifecycle activities such as architecture, design, deployment, and production operations.

What We're Looking For

  • A Master's or Ph.D. degree in Computer Science, Data Science, or a related field
  • 3-5 years of applied AI/ML experience, with a focus on developing, evaluating, and deploying machine learning models
  • Deep understanding of statistical modeling, machine learning, and analytics concepts
  • Experience with large-scale data pipelines and cloud-based technologies
  • Excellent problem-solving, analytical, and communication skills

About Adobe

Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We value diversity, equity, and inclusion, and we strive to create an environment where all employees can thrive. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The estimated salary for this position is $170,000 - $185,000 annually, depending on location and job-related knowledge, skills, and experience.