Data Scientist

3 hours ago

Montreal, Quebec, Canada Yeji Data Lab Full time
Unlock Business Value with Advanced Machine Learning Techniques

At Yeji Data Lab, we're on the forefront of leveraging cutting-edge Machine Learning techniques to address our clients' most complex challenges and drive business growth.

Our diverse client base spans North America, with ambitions to expand globally. Join our team of exceptional business and AI specialists and play a pivotal role in shaping the future of decision-making.

We're currently seeking Full Stack Software Engineers to collaborate with our team and contribute to the development of innovative solutions.

Responsibilities:
  • Work alongside the Data Science project lead to develop, implement, and maintain statistical models and algorithms to extract insights from data.
  • Collect, clean, and manipulate large datasets to inform business decisions.
  • Conduct exploratory data analysis to identify trends and patterns.
  • Develop data visualizations and reports to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and provide insights and recommendations.
  • Use statistical and machine learning models to generate impactful predictions from data.
  • Prepare high-impact storylines and presentations for clients.
  • Work closely with the engineer to integrate data science models into production systems, ensuring scalability and real-time processing.
  • Implement best practices in model versioning, monitoring, and maintenance to ensure sustained model performance over time.
  • Proactively identify potential pitfalls and challenges in moving models from development to production environments and devise strategies to overcome them.
  • Document model architectures, methodologies, and validation results to provide clear guidelines for model usage and troubleshooting.
  • Stay updated with the latest advancements in machine learning deployment techniques and tools, and champion the adoption of relevant technologies to improve model deployment and management processes.
  • Monitor deployed models' performance regularly, and recalibrate or fine-tune as needed to maintain optimal results.
Qualifications:
  • Bachelor's, Master's, or PhD degree in Computer Science, Cognitive Neuroscience, or a related field.
  • Excellent analytical skills with experience in statistical modeling and analysis.
  • Proficiency in at least one programming language (Python, R, or similar).
  • Familiarity with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI.
  • Experience with training machine learning models for regression and classification.
  • Strong problem-solving skills and attention to detail.
  • Strong ability to communicate technical concepts to non-technical stakeholders.
  • Knowledge of both English and French is preferred.

If you're passionate about harnessing operations research to revolutionize business strategies and crave continuous learning in a vibrant setting, we're eager to hear from you.

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