At a Glance
- Tasks: Uncover insights, run experiments, and build dashboards to drive product decisions.
- Company: Join Canva, a vibrant tech company redefining design experiences.
- Benefits: Equity packages, flexible leave, and a supportive work environment.
- Why this job: Make a real impact on creativity and connect with a global community.
- Qualifications: Strong SQL skills and experience with data analysis tools like Python or R.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Join the team redefining how the world experiences design. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
Where and how you can work:
The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You’ll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work.
What you’d be doing in this role:
- Find insights that help us understand both Pexels and our customers - we want you to be creative and insightful, rather than just throwing the usual metrics at the wall to see what sticks.
- Suggest and run interesting experiments that will actually move our metrics - when we push tests to 100% we want to actually see the bump in the relevant graph.
- Build and maintain dashboards for our product teams, and make them look really good - you don’t need to be a designer or have any design talent, you just need to want to build cool things!
- Own projects, data models, dashboards, and other artefacts and keep them up-to-date and high quality in a hypergrowth environment.
- Use our giant databases to answer the sort of questions that sound really simple but turn out to be challenging (and fun!).
- Help us extend data literacy and curiosity throughout the whole company.
You’re probably a match if:
- You have strong competency with SQL. Experience with data warehouses such as Snowflake, Redshift, or BigQuery is a plus!
- You are experienced with data wrangling and analyzing data using Python or R.
- You can demonstrate skills across optimising product funnels, running experiments, and building dashboards that effectively communicate results and outcomes.
- You may have a grounding in mathematics/statistics and a bachelor’s degree in a STEM area (not mandatory).
- You may have played with very large data sets (not mandatory).
- You are a strong communicator, verbally and written, with the ability to break down complex topics into simple solutions and ideas.
About the team:
We build Pexels, a free and open platform for real-world visuals. Our team connects hundreds of thousands of creators with millions of storytellers, making authentic photos and videos easy to find and safe for commercial use. We focus on community, quality, and real impact. We’re looking for a data scientist who is eager to help Pexels forge ahead into a new product space by helping to shape product decisions through actionable insights, experimentation, and reporting. You’ll work closely with our product, engineering, community and marketing teams to uncover the right questions to ask and bring strategic thinking to every decision. You’ll be part of a dedicated, cross-functional squad that supports you in doing your best work. Your coach will guide your personal and professional growth so you can focus on what you love and keep getting better at it.
Ship features that help creators track views, downloads, and reach. Run challenges and meetups that surface new talent from everywhere. Curate and grow a diverse library that updates daily. Work in small, autonomous squads with clear goals and a bias to ship.
Join us to put human creativity at the centre of how the world sees itself.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here’s a taste of what’s on offer:
- Equity packages - we want our success to be yours too
- Inclusive parental leave policy that supports all parents & carers
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
Check out lifeatcanva.com for more info.
Other stuff to know:
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Senior Data Scientist - Pexels employer: black.ai
Contact Detail:
black.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Pexels
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Canva on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data science questions. Think about how you can showcase your SQL skills and experience with data analysis. We want to see your creativity in problem-solving!
✨Tip Number 3
Show off your projects! Bring examples of dashboards or experiments you've worked on. This is your chance to demonstrate your skills and passion for data science, so make it count!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist - Pexels
Some tips for your application 🫡
Be Yourself: When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your passion for data science and creativity.
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with what we’re looking for. Mention specific projects or tools you've used that relate to the role – it’ll make you stand out!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use examples from your past work to illustrate how you’ve tackled challenges and achieved results. This is your chance to show us what you can do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us keep track of all the amazing talent out there!
How to prepare for a job interview at black.ai
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data warehouses like Snowflake or BigQuery. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and ability to handle large datasets.
✨Showcase Your Creativity
Since the role requires a creative approach to data insights, think of examples where you've suggested innovative experiments or analyses that led to significant results. Prepare to share these stories during the interview to demonstrate your problem-solving skills.
✨Communicate Clearly
Practice breaking down complex data concepts into simple terms. The interviewers will be looking for your ability to communicate effectively with non-technical teams, so be ready to explain your past work in a way that's easy to understand.
✨Emphasise Team Collaboration
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Share specific instances where your insights have influenced product decisions or improved team outcomes, showcasing your ability to work well with others.