Machine Learning Engineer to our Route Optimization Team
About us
Founded in 2015, Instabox is a Sweden-based tech company with the mission to make online shopping easier. In 2022, Instabee was founded after combining Budbee and Instabox - two leading last-mile delivery companies with three consumer-facing brands: Budbee, Instabox, and Porterbuddy. Instabee serves millions of consumers across Europe with convenient deliveries and is on track to become the leading European e-commerce enabler. Always with the merchant at heart.
We’re fast, both in terms of parcel delivery and when it comes to growing our business. So far our journey has taken us from Sweden to the rest of Scandinavia and parts of continental Europe, but we have no plans on stopping anytime soon. As we continue to expand, the complexity of Instabee grows in parallel. With that in mind, we’re now looking for a Machine Learning Engineer to help us govern our journey ahead!
About the role
In the Instabee route optimization team we are responsible for developing the tools used to create Instabee’s delivery routes. The routes are optimised both for efficiency and for customer satisfaction. To achieve this, we are employing a number of statistical, and machine learning models.
Following an end-to-end approach, we collect and preprocess data, develop and validate models - as well as deploying the models and integrating them in the routing engine. Our expertise in utilizing machine learning algorithms and comprehensive data analysis empowers businesses to make informed strategic decisions, optimize operations, and drive overall business success.
To do this we’ll expect you to:
Building forecasting models using time-series and other machine learning methods
Build algorithms and optimization tools to be deployed for use by the business
Design and build data models that support business processes but are agnostic of our ever-changing source systems
Demonstrate an appetite to try new approaches, staying up to date with market trends and advances in data processing techniques
Be confident in promoting your great work both internally and externally by inspiring others so we can all learn and feed off each other
Your direct colleagues will be our data scientists, analytics engineers, data analysts, and the broader tech department, so you’ll have colleagues with whom you can share ideas and support you.
To succeed in this role you probably:
Have 3+ years of experience as a Machine Learning Engineer or Data Scientist working in a modern tech environment.
Enjoy solving problems and writing maintainable production-grade software.
Experience in building and deploying machine learning models
Strong programming skills in Python and SQL
Is able to use data visualization techniques to clearly communicate your analytical findings
Enjoys presenting findings and business concepts both verbally and written to others
If this is you, we really can’t wait to meet you!
Diversity and inclusion are very important for us, and we also know that we don’t know everything. So if your passion is problem-solving, and coding and you have a strong willingness to learn, but don’t tick all the boxes above – don't hesitate to apply no matter who you are and let us know how you can contribute to our journey.
This recruitment process consists of background checks as a review of previous public criminal records. The result is public information that is handled confidentially. This is mandatory for all recruitment processes in Sweden.
#LI-JB2
- Department
- Tech
- Role
- Data Scientist
- Locations
- Instabee HQ
- Remote status
- Hybrid Remote
Instabee HQ
About Instabox
Over the course of the past six years, we have grown into a business united by a single purpose: Providing the most uncomplicated shipping service known to humankind - all in order to make everyday life easier. We want to change the industry and not only be a part of the future, but to drive development towards it in a sustainable way. It should be easy to shop online, and therefore we offer millions of customers across Europe a hassle-free and fossil-free shipping service.
We allow our customers to shop from any of our e-commerce partners and pick up their products in one of our conveniently located Instaboxes, alternatively, we offer home delivery if that's their preference.
We’re fast, both in terms of parcel delivery and when it comes to growing our business. So far our journey has taken us from Sweden to the rest of Scandinavia and parts of continental Europe, but we have no plans on stopping anytime soon, and hopefully, this is where you come in
Machine Learning Engineer to our Route Optimization Team
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