MARS Solution Group (formerly MARS IT) is an award-winning organization that is committed to finding the best professional talent to meet your IT & Engineering needs.

MARS Solutions Group was incorporated by a team of highly-skilled software architects with strong business acumens. The company began and grew successfully during the recessionary years of 2008-2010, a time period when many competitors were either shunning the industry or downsizing. Continue reading...

Our Difference

Home  >>  Job Seekers  >>  Our Difference


Data Science Intern

Location: Trevose, PA
Date Posted: 05-03-2018
Data Science Intern
3 months+
SUEZ Water Technologies and Solutions is currently looking for a Data Science Intern to join its Digital Team located at its global headquarters in Trevose, PA. SUEZ’s Digital and Predictive Analytics team derives insights from a wide range of customer and external aggregated data to make proactive and better decisions around operating customer assets. This individual will assist in formulating customer problems along with the commercial and product management teams, and leverage data science tools, and machine learning/artificial intelligence to develop POC’s and solutions.
As a Data Science Intern, you will:
•             Work with a project team to define and solve customer problems, for example, improve/optimize dosing of chemicals to water treatment/purification assets
•             Develop assumptions around problems that can be solved using big data analytics, and test those assumptions using data science and machine learning models by developing proof-of-concept’s
•             Gain and improve understanding of how various techniques such as machine learning, neural networks, etc. can be used to address SUEZ customers’ problems
•             Identify gaps in data within the organization and make recommendations around data completeness, structure, and management
•             Currently pursuing a Bachelor’s or Master’s in Science/Engineering, ideally Computer Science, Data Science, or Information Systems
•             Experience in Data Science, building and training machine learning models and neural networks implementation is a must
•             Knowledge of Industrial Automation systems and Industrial IOT is a plus
•             Knowledge of Amazon Web Services (AWS) IOT, Sagemaker and other AWS tools
•             Knowledge of Python, R and data integration and ingestion through time series databases
•             Experienced in data science models as applied in the Water Industry
this job portal is powered by CATS