Website Adobe
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Key Responsibilities
Work on use cases such as predicting customer churn, causal analysis, forecasting, product recommendations. Develop classifiers, predictive, prescriptive models on large-scale datasets using advanced statistical modelling, machine learning, deep learning, Gen AI.
Drive all aspects of ML product development: ML modelling, data/ML pipelines, quality evaluations, productization, and ML Ops.
Collaborate with several stakeholders to bring AI-based assistive experiences to life.
Be a part of a team culture that focuses on sound scientific processes and encourages deep engagement with our customers.
Demonstrate findings and effectively influence technical and non-technical stakeholders.
What you need to succeed:
Solid foundation in machine learning, classifiers, statistical modelling and multivariate optimization techniques
Strong proficiency in Python, SQL, Hive, Spark
General understanding of data structures, algorithms and distributed computing concepts
Ability to be a self-starter and work closely with other data scientists and software engineers to design, build and test production-ready ML and optimization models and distributed algorithms running on large-scale data sets
Excellent communication and collaboration skills
Think creatively about troubleshooting, debugging, and solving complex, hard-to-reproduce problems.
Ideal Candidate Profile:
A total of 5 to 8 years of hands-on experience in data science, machine learning/statistics.
Masters/Bachelors degree in Computer Science/ Statistics.
Experience in implementation of use cases for customer churn, causal analysis, forecasting and product recommendations, Gen AI.
Comfort with ambiguity, adaptability to evolving priorities, and the ability to work autonomously.
Experience in effectively working with highly diverse and global teams.
Proven ability to effectively manage in a high-growth, matrixed organization.
Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases.
Ability to think and contribute strategically in creating vision for a financial quarter/year.
A relentless pursuit of great customer experiences and continuous improvements to the product.
Nice to have: Demonstrating the results/story using Power BI dashboard.
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.