Talent Scientist at Canonical Nigeria (Remote)

Canonical - We deliver open source to the world faster, more securely, and more cost-effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers. Secure and reliable, elegant and intuitive, and open for innovation - Ubuntu is the future of open source, which is why it's the fastest-growing Linux in the world despite already being the most widely deployed.

We are recruiting to fill the position below:

Job Title: Talent Scientist

Location: Remote

Job Summary

• Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background.
• We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.
• As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. 
• This is not a recruiter position;  it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool. 

We have a number of mid level openings in our team seeking the following:  

• Passionate about how an organisation selects talent using scientific approaches
• Ability to interview candidates using behavioural interviewing techniques (competency based and psychometric assessments)
• Strong analytical problem solving ability to identify trends and patterns using R or Python, SQL, statistical analysis, BI tooling etc.
• An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject
• A high level of personal organisation to work remotely and be effective

What your day will look like
As a Talent Scientist you will:

• Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
• Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
• Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes
• Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
• Consider our employer brand and how our interactions with a candidate impacts their experience 
• Review and streamline hiring processes and tools to drive continuous improvement.
• Work with external third parties and platforms to ensure we maximise our return on investment.
• Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.

What we are looking for in you

• An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject
• Strong analytical problem solving ability to identify trends and patterns using R or Python, SQL, statistical analysis, BI tooling etc.
• Exposure/appreciation of psychometric assessments, including interpretation.
• Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
• An demonstrative viewpoint on talent, with a deep appreciation of how to predict and measure success of people.
• Passionate about how an organisation selects talent using scientific approaches.
• A high level of personal organisation to work remotely and be effective.
• Willingness to travel to company events 2-4 times a year, for up to two weeks each.

Other skills you may bring:

• Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
• Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
• Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling.
• Psychometric validity and reliability metrics.

What we offer you

• Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  
• In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events.

Application Closing Date
Not Specified.

How to Apply
Intrested and qualified candidates should
Click here to apply online