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Data Science Intern - Environment
Company | GHD |
Address | Waterloo, Ontario, Canada |
Employment type | INTERN |
Salary | |
Category | Civil Engineering,Environmental Services,Industrial Machinery Manufacturing |
Expires | 2023-09-02 |
Posted at | 9 months ago |
- Documents completed work so that anyone will be able to understand and implement it
- Assists in building libraries which are passionate about performing analysis relevant to environment
- Prepares reports and presentations that will give insights into ongoing/completed work
- Cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs
- Build solutions through the use of advanced statistical analysis, data mining, and data visualization techniques ensuring tasks are completed on time
- Ability to mine data from EPA, state government’s environment regulation websites etc
- Comes up with superb illustrations and visualizations of data communicating results as measures of the business’s impact
- Assists in performing tasks using ESRI tools like ArcGIS Pro, WebApp Builder
- Coordinating and monitoring specific team tasks when requested
- Performs ad-hoc data mining and exploratory statistics tasks on very large data-sets related to the business’s strategies
- Seeking advice from others when learning
- Will work in environment domain with a focus on contamination, assessment and remediation
- Collaborates with senior data scientists to communicate obstacles and findings to relevant partners in an effort to improve decision-making and drive business performance
- Uses unstructured and disjointed datasets for the purpose of independently generating useful business insights as well as crafting manageable analytical processes
- Designs, implements, and evaluates sophisticated statistical models and approaches for application in the business’s most complex issues
- Teammate, collaborating with others in the data analytics team and sharing information and knowledge, in solving sophisticated business issues
- Confident but friendly and approachable
- Academic/professional experience in but not limited to libraries such as Pandas, NLTK, Scrapy, BeautifulSoup, Numpy/Scipy, Sklearn/H2O, TensorFlow/PyTorch and/or Keras
- Able to think and function independently with minimal supervision
- Ability to troubleshoot complex issues
- Strong organizational and communication skills
- Must have completed either academic coursework or MOOCs related to programming
- Good understanding of Dataframe Manipulation, Web Scraping, Natural Language Processing Machine Learning, Deep Learning concepts, techniques, and algorithms with a specialization in at least one of the listed concepts
- Must be enrolled in a graduate program (preferably in Chemical/Environmental Engineering) and eligible to work full-time (40 hours/week)
- Strong programming skills and experience working with tools such as Excel, R, Python, ArcGIS, SQL Server Management Studio, Azure MLS, Azure DevOps, Git
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Basic knowledge of Big Data techniques and Cloud Computing
- Strong knowledge of remediation techniques, chemical engineering calculations, PFAs compounds
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