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Data Science In Healthcare Jobs in Quebec (NOW HIRING)

In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...

In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...

In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Health and dental benefits * 3 weeks' vacation * Relocation Package * Unfortunately we are only ...

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Health and dental benefits * 3 weeks' vacation * Relocation Package * Unfortunately we are only ...

Solid experience in analytics / data science with a focus on driving business decisions ... Free Access to a virtual health care application. Long gone are the days of waiting 8 hours at the ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field ... We know that caring for our team members is at the heart of a healthy, positive and thriving ...

Data Scientist

Montreal, QC · On-site

CA$80K - CA$90K/yr

Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile ...

Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data ... health and well-being benefits, savings and retirement programs, paid time off, banking benefits ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

Stands out for their proficiency in Python or other data science programming languages (R, SQL, etc ... A healthy, safe, fair, and inclusive environment where potential can be freely expressed and ...

Stands out for their proficiency in Python or other data science programming languages (R, SQL, etc ... A healthy, safe, fair, and inclusive environment where potential can be freely expressed and ...

Stands out for their proficiency in Python or other data science programming languages (R, SQL, etc ... A healthy, safe, fair, and inclusive environment where potential can be freely expressed and ...

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Showing results 1-20

Data Science In Healthcare information

Can a data scientist work in healthcare?

A data scientist can work in healthcare by analyzing medical data, developing predictive models, and supporting clinical decision-making. Skills in machine learning, statistical analysis, and familiarity with healthcare data standards like HIPAA are important for this role.

Who has more salary, a doctor or a data scientist?

Generally, doctors tend to have higher salaries than data scientists, especially in specialized medical fields. Data scientists in healthcare can earn competitive salaries, particularly with advanced skills in machine learning and healthcare analytics, but overall, medical doctors often have higher compensation due to their extensive training and responsibilities.

Is 30 too late for data science?

Data science in healthcare is accessible at any age, including at 30, especially with relevant skills in programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

How can data science be used in health care?

Data science in healthcare involves analyzing large datasets to improve patient outcomes, optimize treatment plans, and enhance operational efficiency. Healthcare data scientists use tools like machine learning and statistical models to identify patterns, predict disease trends, and support clinical decision-making.
What are popular job titles related to Data Science In Healthcare jobs in Quebec? For Data Science In Healthcare jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science In Healthcare jobs in Quebec look for? The top searched job categories for Data Science In Healthcare jobs in Quebec are:
What cities in Quebec are hiring for Data Science In Healthcare jobs? Cities in Quebec with the most Data Science In Healthcare job openings:
Expert, AI & Data Science

Expert, AI & Data Science

Canadian National Railway Company

Montreal-est, QC • On-site

Other

Posted 11 days ago


Canadian National Railway rating

7.3

Company rating: 7.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

159th of 345 rated logistics


Job description

Expert, AI & Data Science

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you're part of making sure our business is running optimally and safely-helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us! 
Job Summary

You will be part of a team that spans across all business domains.  You will provide advanced analytical insights using data analysis and machine learning techniques.   You will collaborate with teams across the company, exploring various data sources to help identify new opportunities while driving the adoption of AI.   As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment.  You will leverage your experience in building reusable algorithms, functions, and libraries to use in model development for predictive and prescriptive analytics.   

Main Responsibilities

  • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
  • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
  • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
  • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices, and emerging tools/technology
  • Collaborate on end-to-end automation efforts required to bring models to production
  • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities

Requirements

  • Experience in the application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques with hands-on work experience
  • 7-8 or more years of hands-on work and practical business experience in Machine Learning and AI, including classification, clustering, time series analysis, NLP, demand forecasting and optimization
  • Excellent communication skills and capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences

Education/Certification/Designation

  • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science

Technical Skills/Knowledge

  • Solid development experience with Python and comfortable using various data science libraries such as Scikit-learn, Pandas, NumPy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
  • Comfortable working in and with a Jupyter like environment and infrastructure, and familiar with GitHub, Data bricks
  • Have advanced knowledge in SQL and Apache Spark, Google VertexAI, Gemini, Microsoft Copilot, Databricks, Generative AI
  • Expert level experience with at least one of the cloud computing platforms - Azure, AWS, GCP
  • Familiar with Tableau and/or Power BI visual analytics purposes
  • Well versed in software and AI development lifecycles, including ML Ops
  • Have agile experience and have a bias for action, removing blocks to get results fast
  • Fluently bilingual both written and verbal (English, French)* 
    *Any knowledge for any of the above would be considered as an asset 

Assets

  • Experience with SAFe agile methodology and work in a fast-paced environment
  • Having Azure or other cloud certifications, For example Azure Data Lake, Data Bricks

About CN  
CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada's Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results. 


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