Data Science Assistant
at Giatec Scientific Inc
Ottawa, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 26 Jan, 2025 | Not Specified | 27 Oct, 2024 | N/A | Pandas,Scikit Learn,Programming Languages,Collaboration Tools,Numpy,Data Science,Written Communication,Thinking Skills,Database Systems,Sql,Computer Science,Mathematics,Excel,Python,Matplotlib,Mongodb | No | No |
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Citizen | GC |
US Citizen | Student Visa |
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OPT | H4 Spouse of H1B |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
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Contract to Hire – Corp 2 Corp |
Description:
Giatec Scientific Inc. (Giatec) is looking for a Data Science Assistant for the Winter 2025 Co-op Term. This is an 8-month term position starting in January 2025. The Data Science Assistant is responsible for supporting the Data Science team in Analytics and Data Engineering tasks such as developing datasets, models, and reports which are used to understand our business and meet strategic objectives. This position provides a great opportunity for university students to gain practical experience in the fields of AI, Machine Learning & Data Science.
REQUIREMENTS:
- Students pursuing a Master or PHD in Computer Science, Data science, Mathematics or a similar field.
- Programming Languages: Python.
- Data Visualization Tools: Matplotlib, Seaborn, Plotly.
- Machine Learning Libraries: Scikit-Learn, TensorFlow, PyTorch.
- Data Manipulation Tools: Pandas, NumPy, Excel.
- Database Systems: SQL, NoSQL databases (like MongoDB).
- Collaboration Tools: Git, JIRA, Slack.
- Have an interest in, understanding of, or experience with Agile development methodology.
- Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
- Good critical thinking skills – conceptualizing, analyzing, synthesizing, and evaluating.
- Self-study and ready to learn new things.
ABOUT GIATEC:
Giatec Scientific Inc. (Giatec) is a global company bringing smart testing technologies and real-time data collection to the forefront of every jobsite to revolutionize the construction industry and reduce concrete’s carbon footprint. Giatec’s suite of hardware & software products leverages AI and Internet of Things (IoT) and delivers wireless concrete sensors, mobile apps, and advanced non-destructive technologies (NDT) that drives innovation throughout concrete’s lifecycle.
Giatec technology has helped over 10,000 projects in 85 plus countries worldwide meet their construction targets on time, and this number is quickly growing. We have also been recognized by numerous organizations as one of Canada’s fastest growing companies for three years running!
At Giatec, we fundamentally believe that attracting and keeping smart and talented people is a key to our success. We are looking for creative and passionate people to join our rapidly expanding team.
Team up with us and reshape your future!
Responsibilities:
- Assist in building and testing statistical models, such as regression models, classification models, or clustering algorithms.
- Use machine learning libraries (like Scikit-Learn, TensorFlow, or PyTorch) to create, train, and evaluate models under the guidance of senior data scientists.
- Perform feature engineering to improve model accuracy and efficiency.
- Assist in gathering data from various sources such as databases, APIs, or third-party tools.
- Perform data cleaning and preprocessing, including handling missing data, removing duplicates, and normalizing or transforming data to make it suitable for analysis.
- Work with different data formats (CSV, JSON, SQL, etc.) and tools for data extraction, transformation, and loading (ETL).
- Continuously learn new tools, techniques, and best practices in data science.
- Participate in training sessions, workshops, or internal knowledge-sharing events.
- Seek mentorship and guidance from senior data scientists and other team members to enhance skills and knowledge.
- Assist in creating dynamic visualizations and dashboards to communicate data insights.
- Use visualization tools to translate complex data into understandable and actionable information.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Phd
Proficient
1
Ottawa, ON, Canada