Data Science Internship, Visier
The base pay range for this position in Canada is $5,500k / month
People analytics & workforce planning software
Posted today
People analytics & workforce planning software
501-1000 employees
Posted today
The base pay range for this position in Canada is $5,500k / month
501-1000 employees
Company mission
To reveal the human truth that helps businesses and employees win together through its cloud-based platform for HR and people analytics.
Role
Who you are
- 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
- Currently pursuing your Masters or PhD
- Knowledge in one of the following areas would be an advantage:
- Hypothesis testing
- Machine learning techniques
- Scientific analysis and knowledge generation
What the job involves
- As part of Visiers 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 an 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)
- 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
Our take
Gaining insights into workforces through people data is invaluable to businesses, allowing them to understand how to retain their hardest-working staff members, benchmark worker performance against competitors, and enable the growth of leaders within the organisation. While HR departments have access to some productivity tools that utilize people analytics, their fragmented and antiquated nature demands a more unified and future-proof solution.
Visier provides an all-in-one cloud-based people analytics platform for businesses, aiming to drive staff retention programs, maximize recruitment outcomes, arm leaders with workforce insights, and ultimately connect business outcomes to the people involved. The platform achieves this through a variety of integrative tools such as performance benchmarking, smart workforce questionnaires, data management automation, and people-powered insights.
Despite the fact that the company faces competition from other people-data solutions, Visier continues to stand out by this unified approach. The company has existing partnerships with EA, Uber, and NCI too, demonstrating success in improving leadership through people analytics, reducing labour costs, and increasing staff retention. In contrast to much of the broader tech sector, the company has grown consistently and accelerated its geographic expansion, a testament to its product's value to businesses.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-9% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$125m
SERIES E
Apr 2020
$45m
SERIES D
Total funding: $261.5m
Company HQ
Downtown Vancouver, Vancouver, BC
Leadership
Ryan Wong
(Co-Founder, CEO & President)Chief Architect & Director of Engineering for Crystal Decisions. Was also Vice President of Engineering for SAP from 2003 to 2008.
John Schwarz
(Co-Founder & Chairman of the Board)GM of Industry Solutions for IBM from 1974 to 2000. Was also President and COO of Symantec, and Business Objects CEO and Executive Board Member of SAP.
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