Vidyard
Data Scientist
Vidyard is the video platform that’s built for business. Sales reps, marketers, and corporate communicators use Vidyard to record and share videos that grab attention and deliver their message in a personal, impactful way. It’s the video tool of choice for Microsoft, LinkedIn, and thousands of other companies. We’re passionate about elevating our customers, our teammates, our communities, and ourselves.
About the Role
Data Science at Vidyard is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Data Scientist to join our Research and Development team, leading experimentation and advanced data science needs. This role will be partnering closely with our Product, Go to Market and Finance stakeholders to drive data informed decisions by building predictive models, conducting statistical analysis and deriving business insights. This is a unique opportunity to have a high level of impact by establishing the data science discipline at a growing company.
This is a remote role open to candidates located in Canada.
What You’ll Work On
Lead the design, analysis, and interpretation of experiments that shape decision-making for the Vidyard strategy
Lead the design, development, and implementation of advanced statistical models and machine learning algorithms
Analyze large, complex datasets to identify trends, patterns, and opportunities for growth and optimization
Drive and implement high impact projects end to end
Partner with our Vidyard stakeholders (Product, Finance, RevOps and Engineering) on advanced analytic initiatives (e.g., prediction modeling, causal inference, experimentation etc)
Present your research and insights to executive stakeholders
Work with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact
Balance handling ad hoc requests while also driving larger projects forward
What You’ll Bring to this Role and Your New Team:
7+ years of experience in data science with a strong background in statistical modelling, machine learning, and data analysis
Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related field.
You have statistical skills utilized in A/B testing, analyzing observational data, and statistical modelling
You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as AWS Redshift, DBT and Cube.
You have good business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems
You have a strong bias to action, delivering results quickly with iteration instead of waiting for perfection
You are a fast learner and are comfortable with ambiguous requests
You have exceptional communication skills and can manage stakeholder priorities directly
Job descriptions can be overwhelming. At Vidyard we are motivated to drive change together and deeply value the unique experiences, abilities and opinions you possess, so if this role sounds like your next adventure, but you don’t feel entirely qualified, apply! We value candidates who own it, and if you’re relentlessly resourceful too, you might be exactly who we are looking for.
As we also value user obsession, we prioritize our users, customers and community so you can expect to hear from our team even if you are not selected to move forward.
What You’ll Love about Vidyard:
Competitive pay
Comprehensive, flexible benefits on day one*
Wellness allowance to spend on what’s important to you
Flexible hours + unlimited vacation + programs to support travel while working, enabling you to live your best life
Access to Inkblot, a digital mental health platform + $1,500/person/year for mental health coverage*
Allowance to support your ongoing growth and development
Parental leave top-up
Paid volunteer hours
Employee resource groups to empower and drive change at Vidyard and in our communities
RRSP match*
Stock options
Flexible holiday program
Home office stipend
Flexibility to work in the place that brings out your best: whether you thrive in the comfort of your home office, or are local to, and prefer the energy of our collaboration space in Kitchener, Ontario, Canada, there is flexibility for all. Although we default to remote-first there will be occasional in-person meetings/events purposefully designed for connection and collaboration.
To apply for this job please visit boards.greenhouse.io.