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Sr Data and ML Scientists
Job summary
A leading tech company in Canada is seeking a Data Scientist to enhance their supply chain solutions. This role requires collaboration with engineers and experts, involving machine learning, data analysis, and pipeline design to provide clients with real-time insights. Ideal candidates will possess significant machine learning experience and a degree in Data Science or related fields. The position emphasizes strong analytical skills and teamwork, with a preference for candidates based in Eastern Time Zone.
Qualifications
- 5+ years of experience in machine learning and statistical modeling.
- Proficient in Python or R programming languages.
- Experienced with SQL and handling large datasets.
Responsibilities
- Develop and implement machine learning models for supply chain ETAs.
- Analyze large datasets for insights and trends.
- Design and build scalable data pipelines and data lakes.
Skills
Education
POSITION OVERVIEW
As a data scientist, you'll play a pivotal role in developing and enhancing our innovative supply chain solutions. You'll collaborate closely with a talented team of engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights.
- Develop and implement machine learning models to improve the accuracy of supply chain ETAs.
- Analyze large, complex datasets to extract meaningful insights and identify trends.
- Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes.
- Collaborate with cross-functional teams to integrate analytics solutions into our products.
- Design and build data visualization tools to communicate findings to stakeholders.
- Continuously research and apply the latest techniques in AI and machine learning to supply chain problems.
- Contribute to the development of our analytics product suite, ensuring scalability and efficiency.
- Communicate complex data science concepts to non-technical stakeholders.
We value diversity and encourage all interested candidates, regardless of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements:
- BS or MS degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience in machine learning, statistical modeling (5+ years).
- Proficiency in programming languages such as Python or R.
- Experience with SQL and working with large datasets.
- Strong expertise in designing and building robust data pipelines, data lakes, and optimizing data storage and retrieval structures.
- Knowledge of supply chain processes and logistics is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Speaking Spanish is a plus!
- We prioritize Eastern Time Zone (NYC) and CET (Amsterdam) location base for employees so they can join regular team sessions.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.