Applied Scientist
Description For Applied Scientist
Adobe is seeking an Applied Scientist to join their team and help transform how they understand and optimize customer experiences through AI and machine learning. This role offers an exciting opportunity to work at the intersection of cutting-edge technology and business impact.
As an Applied Scientist at Adobe, you'll be applying AI and machine learning techniques to solve complex big-data problems that directly impact Adobe's understanding of their customers. You'll work on fascinating projects spanning the full customer lifecycle, from customer analytics to marketing media optimization. Key areas of focus include attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis.
The ideal candidate will bring together strong academic credentials with practical technical skills in applied statistics, machine learning, data mining, and software development. You'll be working with large-scale datasets and implementing solutions that can scale in production environments. This role offers the perfect blend of research and practical application, allowing you to develop innovative solutions while seeing their real-world impact.
Adobe offers a competitive compensation package ranging from $120,700 to $228,600 annually, varying based on location and experience. Beyond the base compensation, Adobe provides comprehensive benefits and the opportunity to work on products that impact millions of users worldwide.
The role combines the intellectual challenge of advanced machine learning with the satisfaction of seeing your work directly impact Adobe's products and customers. You'll be part of a collaborative team environment where you can grow your skills while working on meaningful problems at scale. If you're passionate about machine learning and want to apply your skills at a company that's leading the digital experience revolution, this role offers an excellent opportunity to make your mark.
Working at Adobe means joining a company that's committed to innovation and empowering creativity worldwide. You'll be part of a culture that values both technical excellence and creative thinking, with opportunities to work on projects that push the boundaries of what's possible in AI and machine learning.
Responsibilities For Applied Scientist
- Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques
- Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
- Collaborate with product management and engineering groups to develop new products and features
Requirements For Applied Scientist
- PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
- Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts
- Proficient in one or more programming languages such as Python, Scala, Java and C
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
- Knowledge and experience of working with relational databases and SQL
- Strong analytical and quantitative problem-solving ability
- Excellent communication, relationship skills and a strong team player
Benefits For Applied Scientist
- Competitive salary range $120,700 - $228,600
- Annual Incentive Plan (AIP)
- Long-term incentives in form of equity awards
- Comprehensive benefits package
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