Our purpose
Otrium is a purpose-led business – we see a future where all clothing is worn.
Every year, billions of items are produced globally but are never sold. Clothing goes unworn and often ends up in landfills. This is a huge waste of creative energy, labour, natural resources and investment. Otrium is changing fashion from the inside out: we are an online fashion outlet marketplace and we tech-enable designer brands to find an owner for every item they produce.
How we work
Founded and headquartered in Amsterdam, operating across Europe, Otrium is a start-up company whose diverse, talented and international team, works diligently and passionately to achieve one mission: Wear Over Waste. We have a hybrid set-up which offers flexibility and freedom to our O-Team - this means we encourage our (local) O-Team members to join together in our office based in the Houthavens, Amsterdam at least 2 days per week. Do you have a gym class at 11am or want to take your dog for a walk? Just make up the hour some other way. Fancy a change of scenery whilst you do your work? Feel free to make use of our 8 weeks Workation policy!
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Your impact
Do you have a passion for e-commerce and data? Do you prefer to work in a young and ambitious team? Do you want to help build and scale an international platform by developing the best recommender systems to serve our customers? Then this is the challenge for you!
As an Analytics Engineer (Recommendations), you will play a pivotal role in enhancing the customer experience and driving growth for our fashion brands. You'll collaborate with cross-functional teams, including the Merchandising and User Engagement teams to develop and fine-tune our recommender systems, leveraging your expertise in data and machine learning.
Your responsibilities
- Implementing and improving new recommender systems to enhance product recommendations on our website using third-party algorithms
- Building, maintaining and improving data models and pipelines to support the system
- Ensuring the accuracy and availability of data
- Collaborating with the Merchandising and User Engagement teams to optimise and improve our recommendation algorithms
- Working closely with data engineering team and following platform best practices
- Conducting A/B tests and Utilising your data-driven insights to identify opportunities for enhancing the customer journey and personalising the shopping experience
- Sharing your expertise to educate and collaborate with teams across the organisation on data and analytics best practices
What you'll bring to the team...
- A Master's degree in a quantitative study such as econometrics, data science, or machine learning
- 3+ years experience in data; either as an engineer, data scientist, analytics engineer or a similar role within the recommender space
- Hands-on experience in conducting A/B tests and analysing and implementing the results
- Excellent communications skills with the ability to enable effective collaboration with internal teams and external partners
- Strong self-management and time management skills to meet deadlines and manage multiple stakeholders
- An excitement for fast paced and nimble environments
- Ability to present insights in a compelling and engaging manner
- Experience with dbt, SQL & Python is a must
- Databricks, AWS experience is a plus
- Ecommerce and/or Martech experience is ideal
What we offer you for being O-mazing:
- A competitive, market-rate salary (incl. holiday allowance) and a generous SAR package
- 25 days paid holiday per year - plus a day off on your birthday and 8 weeks Workation option!
- An open, spacious, plant-filled office on the waterside in the Houthavens
- Delicious bi-weekly office lunches - prepared by our lovely Hub & Culture Manager, Denise
- Mental and physical health support via a OneFit gym subscription discount and free, unlimited access to OpenUp
- Mac laptop and more handy tech - including setting up your home office via Workwize
- And, of course, an incredible 35% Otrium employee discount!
How we hire:
Otrium is committed to fostering an inclusive and diverse community of employees with a strong sense of belonging. We believe we are bettered by all forms of diversity, and take pride in working with talent from every walk of life and corner of the world. In the spirit of inclusivity, qualified applicants will be considered without regard to age, ethnicity, ability, gender, gender expression, gender identity, nationality, race, religion, or sexual orientation. Here’s to freedom, flexibility, and global inclusivity!
What's next?
Excited about what you're reading? Let us know more about who you are and why we should work together - we look forward to hearing from you!
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