Statistical & Machine Learning Data Scientist

Do you want to solve some of the hardest problems for business leveraging ML/AI? Do you want to learn how to build algorithms that scale – most of our use cases start with 10 million+ rows of data

About the position

Our data scientists & engineers are helping to shape our marketing strategy for a digital world.

What are our goals in Marketing?

Drive perception;
Drive demand;
Grow the buyer base;
Build the best content.

The models and solutions you deliver will be the essential ingredient we use to supply our customers & sales with relevant product recommendations and creative breakthroughs to our business.

You should have extensive experience in analyzing and building models against extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build models and simulations that answer those questions.

We expect you to be familiar with most of the standard methods: linear regression, logistic regression, regularized regressions, nearest neighbors, k-means, DB scan, collaborative filtering, decision trees, random forests, extreme gradient boosting, support vector machines, neural networks and deep learning – including deep neural networks and deep belief networks. However, it is also important to be creative in applying/implementing new methods or combinations of those to our data.

You will be applying, but also developing/improving, supervised and unsupervised algorithms. You will have the opportunity to demonstrate and develop your analytical and technical skills with challenging projects and work with our experienced data scientists and big data engineers. Expect to expand your skills in Python / R, the Hadoop ecosystem including Spark (Scala / PySpark / SparklyR) & Hive, relational databases, and applying machine learning techniques to large datasets.

We offer you a fast-paced work environment in a diverse team with exposure to Dell teams across the globe. You will be part of a dynamic, collaborative, and cross-functional team focused on making significant business impacts.

Responsibilities:

• Lead discussions to frame problem statements, develop hypotheses, design data frames, recommend modeling approaches, measure success & testing criteria
• Establish scalable, efficient, automated processes for large scale feature engineering, model development, model validation and production
• Communicate with product teams and leadership and turn hard and abstract into simple and approachable