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Join the forefront of fashion e-commerce as an Analytics Engineer and shape the future of shopping with cutting-edge recommendation systems
Overview
Salary
No salary declared 😔
Location
Amsterdam, North Holland, Netherlands,
Expires
Expires at anytime
Are you ready to innovate in the world of fashion e-commerce with a focus on data and machine learning? Otrium invites passionate professionals to join their dynamic team and contribute to an ever-evolving international platform. This is your chance to work within a young, ambitious environment and make a significant impact on customer engagement through advanced recommender systems.
Organisation summary:
Otrium is a pioneering fashion e-commerce platform committed to delivering exceptional shopping experiences. By leveraging state-of-the-art recommender systems, we aim to drive growth and enhance the satisfaction of our diverse customer base. Our vibrant workplace is inclusive and supportive, offering various benefits, including a competitive salary, generous leave policies, and a nurturing environment for both mental and physical health.
Role Summary:
- Develop and refine product recommendation algorithms to elevate user experience on the website.
- Create and manage robust data models and pipelines for recommender system support.
- Ensure data quality and accessibility for system functionality.
- Work collaboratively with Merchandising and User Engagement teams to optimize algorithms.
- Adhere to platform best practices in close coordination with the data engineering team.
- Design and execute A/B tests, utilizing data insights to improve customer journeys.
- Share knowledge and foster data and analytics best practices within the company.
Role Requirements:
- A Master's degree in a quantitative field like econometrics, data science, or machine learning.
- At least 3 years of experience in a data-related role, preferably in the recommender systems space.
- Proven ability to conduct A/B tests and implement findings.
- Expertise in communicating and collaborating with various teams.
- Proficiency in dbt, SQL, Python, and familiarity with Databricks and AWS are highly valued.
- Previous experience in e-commerce and/or Martech is an advantage.
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!
