Job description
Ready for a challenge?
Then Skip (Just Eat Takeaway.com) might be the place for you. We’re a leading global online food delivery platform, and our vision is to empower everyday convenience.
Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role
As a Data Scientist you will dive deep into data to uncover meaningful insights and deliver data-driven recommendations to product owners and business stakeholders. You will play a key role in turning raw data into actionable insights, ensuring they are communicated effectively through both verbal and visual presentations to a wide range of audiences.
You will be responsible for building machine learning models and collaborating with Machine Learning Engineers to deploy, maintain, and refine them, ensuring they deliver fast, accurate, and scalable predictions.You will align closely with Developers and Operations Research Scientists, enabling them to leverage predictive insights to drive greater impact across the organisation.
Collaboration is at the heart of this role.In partnership with product owners, Data Engineers, Business Analysts, and other key stakeholders, you will also help define and implement success metrics that align with business objectives, ensuring the results are measurable and actionable.
Location: Hybrid- 3 days a week from our Winnipeg/Toronto/Berlin office & 2 days working from home
Reporting to: Manager, Data Science & Machine Learning
These are some of the key ingredients to the role:
Critically analyse data approaches, assumptions, and solutions to improve processes and outcomes.
Preference for simple, effective solutions, particularly in technical model development and deployment.
Data hypothesis testing skills, with a solution-focused mindset.
Work with real-time data integration and machine learning frameworks.
Work closely with cross-functional teams in agile environments.
Communicate statistical and machine learning concepts to technical audiences.
What will you bring to the table?
Proficiency in data science and machine learning methodologies, with experience in building models and getting them to production.
Experience with python (scikit-learn, pandas, seaborn, etc.) in notebooks and pure Python code for production, and strong proficiency in SQL.
Experience working with Docker containers for reproducible data science workflows.
Basic understanding of mathematical optimization is beneficial.
Experience with real time inference and stream processing is advantageous.
What It's Like To Work At Skip:
Skip is the kind of workplace that garnered a “Top Places to Work in Manitoba” and it was no small coincidence. We set out to make this a place our employees are proud to tell their Mothers, Fathers, friends and anyone who will listen that they work here. Skip team members feel pride knowing their input and uniqueness are not only embraced but make an impact on a major Canadian company and its satisfied customers. As the company grows, so do you — you meet and surpass new challenges every day.
That’s just a small taste of what it’s like to work at one of Canada’s leading tech companies. If you’re hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we’d love to hear from you. Skip is proud to be an Equal Opportunity employer. We are committed to fostering a diverse and inclusive environment where all employees feel they truly belong and where everyone is included, seen, heard and respected.
In keeping with our values, all applicants will receive consideration for employment regardless of: gender identity or expression, sexual orientation, race, ancestry, national origin, religion, age, marital/domestic partner status, (dis)ability, neurodivergence, or any other characteristic protected by law. Should you require any accommodations throughout the hiring process, we encourage you to reach out to your talent acquisition specialist.
Note: All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory.
