Machine Learning Engineer

Short Description

About Capgemini                                                                         
With almost 200,000 people in over 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2017 global revenues of USD 15.78 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model. Learn more about us at http://www.capgemini.comRightshore ® is a trademark belonging to Capgemini 


Title – Machine Learning Engineer

Location – San Francisco, CA

Duration – Fulltime

Job Description We are looking for a Machine Learning Engineer that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products Your primary focus will be in applying data mining techniques doing statistical analysis and building high quality prediction systems integrated with our products Responsibilities Selecting features building and optimizing classifiers using machine learning techniques Data mining using state of the art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing cleansing and verifying the integrity of data used for analysis Doing ad hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Ability to develop POC in collaboration with diverse stakeholders Research and develop statistical learning models for data analysis Collaborate with product management and engineering departments to understand company needs and devise possible solutions Communicate results and ideas to key decision makers Skills and Qualifications Master s Degree in Computer Science Statistics Applied Math or related field 5 years practical experience with SAS ETL data processing database programming and data analytics Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Excellent understanding of machine learning techniques and algorithms such as k NN Naive Bayes SVM Decision Forests etc Experience with common data science toolkits such as R Weka NumPy MatLab etc Excellence in at least one of these is highly desirable Experience with data visualization tools such as D3 js GGplot etc Proficiency in using query languages such as SQL Hive Pig Experience with NoSQL databases such as MongoDB Cassandra HBase Good applied statistics skills such as distributions statistical testing regression etc Great communication skills Good scripting and programming skills i e Experience with programming languages such as Java Python an asset



Posted on:

March 20, 2019

Experience level:


Education level:

Bachelor's degree or equivalent

Contract type:

Permanent Full Time (us-en)




Financial Services


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