Visier is the global leader in AI-powered people analytics, workforce planning, and compensation management solutions, helping organizations gain a Workforce AI Edge. With over 60,000 customers in 75 countries, including enterprises like BASF, Panasonic, and Ford Motor Company, we empower businesses to understand the relationship between people and work, adapt faster to change, and drive better outcomes.

Backed by leading investors and valued at $1B, Visier is at the forefront of transforming the HR landscape through innovation and data-driven insights. Join us in our mission to unlock the business-transforming potential of people data

As part of Visier's R&D organization, our data science team is responsible for the development of advanced numerical algorithms and statistical techniques that generate business insights from human resource data. Mentored by a experienced Data Scientist you will collaborate on projects that match both your interests and Visier business needs. This could be software engineering focused (e.g. enhancing our machine learning pipelines or prototyping of automated insight generation), or research-focused (e.g. unveiling compelling insights into the workforce from our unique multi-million employee cross-customers data set).

This role is based out of our head office in Yaletown, with a hybrid schedule of Tues - Thurs in office, Mon & Fri WFH!

What you'll be doing...

• Modelling the problem at hand, such that it directly solves underlying business problems
• Brainstorming to identify the correct data required to solve business problems
• Performing statistical analysis on data to build statistical/machine learning models
• Identifying the right metrics to measure the success of the models and projects
• Communicating and presenting your work to stakeholders across the organisation
• Conducting independently research, in order to gain domain knowledge and learn cutting-edge techniques

What you'll bring to the table...

• Strong understanding of statistics and how to apply scientific methods to data using algorithms
• Coding skills in Scala, Python or other relevant languages
• Attention to detail and big-picture thinking
• Knowledge in one of the following areas would be an advantage:
  • Hypothesis testing
  • Machine learning techniques
  • Scientific analysis and knowledge generation

The base pay range for this position in Canada is $5,500k / month.

The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

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