Statistical & Machine Learning Data Scientist
Dell has been active in Slovakia since January 2003. We started as a centre of sales and customer support and transfer into a business centre supporting the whole EMEA region and the main financial hub of Dell, globally. We offer a broad palette of positions in IT, finance, sales, marketing, data science, technical support and business process support.
We are very honored and humbled to receive 3rd place in an annual 'best employer' survey conducted by Profesia amongst Shared Service Centers in Slovakia for the year 2018. Join our team and be part of life at Dell.
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?
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.
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
Essential and desirable requirement
You have professional experience. 4+ years of experience in predictive modeling and analysis, preferably customer journey and targeting to drive business outcomes
Proficiency in Python or R especially on data wrangling, analysis, and modeling
Expertise in experiment design and methods, from A/B tests to quasi-experiments
Excellent problem solving, analytic skills, and written and oral English communication skills
Education (Master’s degree or higher) in Statistics, Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
In addition to the above, it’s a plus if you have:
Experience with Apache Spark in particular MlLib (incl. Scala, PySpark and/or SparklyR)
Have deployed models in production or know how it is done.
Experience with Kubeflow or other docker/container based solutions.
Experience with Pytorch or Tensor flow are big plus.
Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.
Learn more about our Career & Benefits