Data Scientist
HelloFreshJobsCloseBy Editorial Insights
HelloFresh is hiring a 12-month contract Data Scientist in Toronto, onsite with a hybrid setup, to build and deploy statistical and ML models that illuminate our customers, products and operations. You will collaborate with data engineers, BI analysts and colleagues to deliver data products, lead model development, and help advance the ML Ops platform, reporting to the Senior Manager Data Science & Data Engineering. The ideal candidate has 2-3 years in data science or data engineering, strong Python and SQL, solid statistics, and the ability to communicate insights to technical and non-technical stakeholders. Apply in PDF and highlight impact, project scoping, collaboration and relevant ML/NLP or A/B testing work; note your fit for a hybrid culture.
**This position is a 12 Month Contract**
S'more about the team
The Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting deep analytical data dives to drive better understanding of our customers, products, and operations. Reporting to the Senior Manager, Data Science & Data Engineering, this role will be responsible for designing and developing effective and scalable data science solutions to solve complex problems across our business and advance our data capabilities.
Lettuce share what this role will be responsible for
- Collaborate with data engineers, business intelligence analysts, automation specialists, and other stakeholders to deliver best in class data science and machine learning solutions
- Lead the design, build and deployment of data products, including statistical and machine learning models, data deep dives and statistical testing / analyses, to a wide range of stakeholder groups across various applications. Some examples include:
- Develop project plans based on large-scale stakeholder requirements, and provide updates to data team peers and stakeholders on the delivery of these
- Maintain up-to-date knowledge and understanding of machine learning and deep learning algorithms, AI tools, etc., and their potential applications to the business, making recommendations for evaluation/testing where relevant
- Liaise with Global data science teams to identify opportunities for collaboration, support, code reviews, and adoption of new tools / techniques
- Contribute to the development and implementation of the global ML Ops platform in Canada
- All other duties, as assigned
Sound a-peeling? Here's what we're looking for
- 2-3 years experience in data science, data engineering and/or other relevant data disciplines
- Experience identifying business opportunities for data science and ML solutions, scoping and prioritizing projects, and resourcing with appropriate skills
- Good grasp of advanced statistical concepts (e.g., Bayesian statistics; multilevel and generalized linear models; timeseries; bootstrapping) as well as various data science methodologies (e.g., NLP/LLM, quasi experimentation, A/B testing, etc.)
- Intermediate Python programming
- Advanced SQL Querying
- Understanding of data visualization best practices and proficiency with BI Platforms (Tableau preferred)
- Strong, demonstrable analytical and problem-solving skills
- Ability to communicate complex concepts and analyses to both technical and non-technical stakeholders
- Bachelor’s degree in STEM, Economics or Business preferred, or equivalent work experience
Let’s cut to the cheese, this is why you'll love it here
- Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- Family Benefits - A parental leave top-up program for expectant parents.
- Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
- Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.
#LI-HYBRID
Working Conditions
It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.