In business for over 30 years our client has built world class platforms that are currently supporting more than 20,000 customer sites globally. They enable their customers to achieve operational excellence, maximizing financial performance and delivering an offering that exceeds their customers' expectations.
They provide superior value by integrating their retail data into a machine learning forecast engine to help them automate human intuition. This, combined with deep retail operational understanding and experience is innovation to run on.
Reporting to the SVP of Product Management, you are enthusiastic and passionate about everything data. You will mine, extract and analyze data to solve business challenges and create modern solutions that will bring exceptional value and benefit to our client's customers. You will collaborate with a Product Manager and a Cloud Data Architect in a small dedicated team that will build out our client's cloud data analytics platform from inception to production.
Your mission is to turn raw data into valuable insights that their customers need to demonstrate sustainable value is being extracted by using our client's solutions. You will be using software tools and/or programming languages such as R, SAS, Python, SQL, Ruby, etc. to mine data from large datasets and leverage rich data sources to provide imaginative solutions and insights to business problems experienced by their customers.
You are currently working as a data scientist within a cloud computing environment with machine learning algorithms.
You excel in visualizing and communicating data insights.
You are skilled at various development languages such as C/C++, .Net, Java, Python, Ruby, PHP, PL/SQL, Scala etc.
You have worked with data mining tools such as R, SAS, Apache Lucene, etc. and machine learning platforms, such as R, Python and Azure ML.
Your SQL skills are excellent and are experienced in working with non-relational databases such as Mongo, Aster, BigTable, Cosmos DB, Couchbase, etc.
You have worked with BI tools such as PowerBI, Tableau, Crystal, MicroStrategy, etc.
Minimum Education Level: B.SC or MCSA in data science, data management and analytic, business intelligence, Machine Learning, Statistics or Probability