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Data Scientist At Altis Professional

Location: Toronto, Ontario

Job Description

A Data Scientist is needed for a contract opportunity Downtown Toronto. This is a project driven opportunity that has the potential for extension depending on client's project needs. The Data Scientist would be needed onsite Monday to Friday for 3 months to start. The successful candidate will be working with and reporting to the Manager, Advanced Analytics. The expectation is to work closely with various business units and apply advanced analytics to real-world hospitality situations, creating the most value from data. Individuals interested in this position thoroughly enjoys working with statistics and machine learning to unlock tangible business growth. Successful candidates will have a deep understanding of modern machine learning techniques and their mathematical underpinnings, and would be able to translate this into business implications.

The client will not be providing training and is expected individuals confident and ready to take on the full responsibilities needed for this project.

Roles and Responsibilities

Transform large, complex datasets into pragmatic, actionable insights

Develop scalable algorithms and models to answer business questions

You will have the opportunity to leverage the client's rich data and state-of-art machine learning infrastructure to contribute to develop data, machine learning and AI products

You will collaborate with a strong team of engineers and data scientists on how to evaluate new approaches, build features, and develop algorithms

You will support the ADHOC analytics needs, providing statistical inference and predictive modeling to the business units to increase the efficiency and business performance

You will explain sophisticated data science concepts in a clear, precise, and actionable manner to decision makers

Qualifications and Experience

Minimum 3 to 5 years of relevant experience including hands on experience in machine
learning, statistics, collaborating with engineering teams to develop prototypes that can
be deployed across varied environments (e.g., real-time personalization )

Strong programming skills (Python, R, Scala)

Experience with distributed systems such as Spark, streaming data processing

Familiar with modern distributed ML frameworks such as TensorFlow, PyTorch

Familiarity with AWS/GCP technology stack is a plus

Experience in hospitality/retail industry is a plus

Must have:
MS or PhD in computer science, machine learning, statistics, math or other quantitative
discipline

Nice to have:
Proficient in English and French

Education and Certifications

Minimum education required: Master's Degree

Preferred field of study: Statistics