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!

　　Position Summary

　　A data scientist with 5+ years of experience with a deep understanding of data analysis and AI & machine learning, GenAI and NLP techniques. You will be responsible for extracting valuable insights from large datasets, building advanced AIML models and driving data-driven decision-making within the organization or for the enterprise customers. This role involves a combination of data analysis, model development, and strategic thinking to solve complex business problems. You will interact with key stakeholders and apply your technical proficiency in AIML, Python, R and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and interface directly with enterprise customers for the Adobe Experience Platform.

　　What you'll do

　　Interface with Adobe customers to gather requirements, map solutions & make recommendationsDocuments projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of resultsHelp understand and clean datasets, help interpret outputs and make them comprehensible to understand for other teams.Strong collaboration with consultants onshore & offshoreCreate reusable statistical models & modify existing algorithmsSupport the execution of Data Science solutions to business problemsInnovate on new ideas to solve customer needs & assist to create GTM strategies for new solutionsReport on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions.

　　Requirements

　　5+ years of experience in AIML role, with a focus on building data pipelines for conducting data intensive analysis5+ years of experience with Machine Learning and algorithms for classification, clustering, prediction, recommendations and NLP5+ years of experience with common Data Science Toolkits (i.e. R, Jupyter Notebooks, PySpark etc.)5+ years of enterprise development using PythonStrong understanding of GenAI and LLMAbility to enhance Standard Algorithms is requiredKnowledge & experience using Amazon Sagemaker, Microsoft Azure ML or Google AI technologies5+ years of complex SQL experience5+ years of Data Modeling experience5+ years of Data Visualization tools (i.e. Tableau, PowerBI etc.)Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projectsStrong verbal & written communication skills to lead customers to a successful outcome and explain complex technical concepts to non-technical stakeholders.Excellent problem-solving and critical-thinking skills.Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud)Must be self-managed, proactive and customer focusedDegree in Computer Science, Information Systems or related field

　　Special Consideration given for

　　Experience & knowledge with Adobe Experience Cloud solutionsExperience & knowledge with Web Analytics or Digital Marketing

　　Adobe is proud to be anEqual Employment Opportunityand 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.

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　　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.