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!
Be able to identify customers’ needs and desires, and quantify them into statistical problems.
Be able to collect and cleanse large amount of real-world costumers’ usage and commerce data in various product environments
Develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
Deliver informative and effective findings, results and recommendations from machine learning models to stakeholders, be able to create dashboards of important statistics and metrics.
PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or other related fields.
Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
Proficient in one or more programming languages such as Python, Java, Scala, and C.
Familiar with one or more machine learning or statistical modeling tools such as R, scikit learn, and Spark MLlib.
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.
Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark)
3+ years of experience in machine learning, data mining, information retrieval, or statistical analysis
Knowledge of cloud platforms (such as AWS or Azure) and experience of developing applications on the cloud platforms using various cloud services
Experience with Econometric models