Position: Senior Data Science Engineer
Company: GlobalLogic
Experience required: 5y
English level: upper

Job Description
A mathematician or relevant education
Experience working with and creating data architectures 
Deep understanding of modern machine learning techniques and algorithms
Proven expertise in machine learning theory and practice
Python/Java/Scala development experience 5+ years
Practical experience in Architecture design ML solutions
Experience with at least one high-end ML development environment (Tensorflow, Pytorch, Caffe, etc.)
Hands-on experience using Cloud ML tools (Sagemaker, Azure Machine Learning Studio, etc.
Excellent written and verbal communication skills for coordinating across teams.
 

Nice to have practical experience working with Big Data tasks
 
 
Job Responsibilities
Buiding architecture of ML solution for various tasks
Performing Initial data investigation and exploratory data analysis
Developing custom data models and algorithms to apply to data sets
Working with various ML tasks, task decomposition, and estimates
Coordinating with different functional teams to implement models and monitor outcomes
Communicating important information and insights to the team and clients
Participating in presenting results to stakeholders
Department/Project Description
Our Data Science team is working on delivering highly efficient ML models and providing analytical support to the large US-based company operating in the Infrastructure industry. 

Our client is an Industry leader with the largest market share in the US. The client offers underground utility locating services. 

Our team consists of enthusiastic Data science engineers whose goal is to find opportunities to use historical data for analyzing and improving the operational efficiency of the client's business, such as reduction of damage, reduction of drive time, additional adherence to SLAs, increase of LPH.