Data Scientist

Scalian SAS

$80K — $110K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Statistics, Computer Science, Business Analytics, or related field
  • 5 years of experience in Data Science or applied statistics
  • Strong problem-solving skills focused on product development
  • Proficient in statistical programming languages (R, Python, SQL) to handle large data sets

Responsibilities

  • Contribute to the AI Strategy in innovative ways
  • Design AI solutions for aviation and health training
  • Mine and analyze data to optimize product development and marketing
  • Develop custom AI solutions and algorithms for various data sets
  • Lead large-scale machine learning projects from functional conception to implementation
  • Conduct experiments to enhance model efficiency and comprehension
  • Facilitate collaboration between functional teams for model deployment

Benefits

  • Experience in critical industries on diverse projects
  • Competitive salary with a comprehensive benefits package (dental, medical, life insurance)
  • Access to training on cutting-edge technologies
  • Structured career development plan aligned with personal goals
  • Opportunities for international work through mobility programs
  • Part of a dynamic team that values communication and enjoyment
  • Team-building events and activities to foster a fun work environment
Full Job Description
Data Scientist (M/F/D)Montréal | Permanent Contract | Full-Time

Are you a Data Scientist or would you like to become one?
If your answer is yes, it's your lucky day as we are looking for a dynamic and talented person to join our team in Montréal!

What will your rolebe?
In this project, you will:
  • Be a key contributor to the AI Strategy
  • Design innovative Artificial Intelligence solutions to support aviation and health training operations.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom AI solutions and algorithms to apply to data sets.
  • Experiment advanced modeling methodologies that aim increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework for AI experimentation and results analysis.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Be an active member of the business transformation
  • Drive research on aviation & healthcare industry trends and the commercial applications of machine learning to be a differentiator in the market
  • Lead multiple service-oriented large-scale machine learning related projects: from functional to the implementation plan
  • Lead a team for rapid and iterative development of validated minimum viable solution
  • Develop and prototype new machine learning techniques, run experiments to improve comprehension and model efficiency rate
  • Be an inspirational and motivational colleague
  • Be an inspirational and motivational colleague
  • Share knowledge with team members & participate in various learning-sharing activities
  • Contribute to the collaborative and stimulating work environment
  • Be a change agent & Agile mindset promoter
  • Be connected to the industry to know tendencies and suggest innovative ideas

What qualifications are we looking for?
You have:
  • A Master or PhD in Statistics, Computer Science, Business Analytics or a related field;
  • 5 years of experience in Data Science or applied statistics;
  • Strong problem solving skills with an emphasis on product development;
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

Assets:
  • Experience manipulating data sets and building statistical models.
  • Knowledge of a variety of machine learning techniques (Random Forests, Support Vector machine, Gradient boosting, artificial neural networks, Bayesian networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (GLM/Regression, Time Series, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience working with and creating data architectures.
  • Experience using web services: Redshift, S3, Azure, Spark, DigitalOcean, etc.
  • Experience analyzing data from 3rd party providers: Microsoft Application insights, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Microsoft Power BI, Business Objects, D3, ggplot, etc.

Why join us?
  • To acquire experience in different critical industries and projects while working for the same company;
  • To have a competitive salary and a great benefits package (dental, life and medical insurance, RRSP matching, sick days, vacation);
  • To access trainings that focus on expanding your knowledge while staying up to date with cutting edge technologies and best practices;
  • To have a clear career development plan that suits your goals;
  • To have the possibility of working abroad through our mobility program thanks to our international presence;
  • To join a dynamic, specialized and fast-growing group where communication is key and where every team member is valued;
  • To be part of a team where having fun is essential (team building events, 5 à 7, Marathon and more!).

Are you interested and would like to find out more?
Apply and let's talk!

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