Microsoft: Data Scientist

Join a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services.

Microsoft Company: Microsoft
Location: Redmond, WA

Join the excitement of Machine Learning in the Cloud at Microsoft! We are a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services and end to end solutions for scenarios in diverse enterprise and consumer verticals.

We are looking for applied scientists who are passionate about applying machine learning and data mining techniques to a variety of exciting applications for enterprises and consumers.

You will apply a range of machine learning techniques including predictive modeling, text and image mining, recommendations, clustering, anomaly detection, forecasting methods, deep learning and other advanced statistical techniques.

You will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration and visualization, feature engineering, experimenting with ML algorithms, evaluating and comparing metrics, deploying the models, iteratively improving the solution, building the tools for this process etc.

You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series.

In this role, you will interact with a team of experts in machine learning, distributed systems, program management and partner product teams, on the vision, scenario/feature planning, execution and delivery of scalable solutions as a cloud service.

  • PhD degree in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field, or MS degree with 3+ years of experience in the industry for Scientist, 4+ years post Ph.D or 7+ years post M.S for Senior Scientist, 7+ years post Ph.D or 10+ years post M.S for Principal Scientist.
  • Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval.
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Knowledge and experience working with distributed computing systems is a plus
  • Software development skills in one or more high level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell), and common ML tools (Weka, R, RapidMiner, KNIME, scikit, SAS, SPSS, ModelBuilder etc.)
  • Ability to build production grade machine learning enabled solutions end to end
  • Strong interpersonal, communication and presentation communication skills

To be considered, please forward your resume to Jerrod Wheeler .