Jobs in Quebec, Kanada
Senior Data & ML Scientist - AI for Real-Time Supply Chain
HRB
Entdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen. Jetzt mehr Stellenangebote entdeckenStaff and Senior Product Designer (Multiple Roles, Multiple Teams)
Wealthsimple
Assurant Vehicle Protection Services, Business Development Manager (Vancouver)
Assurant
Vernetze dich mit Headhuntern um dich auf ähnliche Jobs zu bewerbenManhattan ACTIVE SCALE WMS Consultant (Remote)
Fulfillment IQ
Remote ACTIVE SCALE WMS Consultant — Logistics Innovator
Fulfillment IQ
Salesforce Cloud Consultant
United Software Group Inc. - Canada
Independent Local Ad Publisher – Turnkey, High Earnings
BVM
EverConnect - Director of Product Experience & Engagement
EverCommerce
Coordonnateur(e) marketing et communications
JBR Capitale de risque
Pathologiste Anatomique (Français et Anglais) Virtuel
IDEXX
Associate Auditor – Social Accountability (contract)
BSI
Contract Social Accountability Auditor - Remote Ontario
BSI
Remote Construction Sales Pro
J.D. Irving, Limited
Sr Data and ML Scientists
Zusammenfassung
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.
Qualifikationen
- 5+ years of experience in machine learning and statistical modeling.
- Proficient in Python or R programming languages.
- Experienced with SQL and handling large datasets.
Aufgaben
- 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.
Kenntnisse
Ausbildung
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.
* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.