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Senior BI Data Scientist (m/f/d) - BI APP

Remote: 
Full Remote
Contract: 
Salary: 
32 - 32K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years as a Data Scientist, Proficiency in Python or similar languages, Strong SQL skills with large datasets, Machine learning model building experience, Knowledge of cloud platforms and CI/CD tools.

Key responsabilities:

  • Design innovative algorithms for personalization
  • Deploy solutions ensuring high performance
  • Identify improvements in recommendation systems
  • Ensure data-driven solutions are proposed
  • Thrive in a fast-paced, dynamic environment
ABOUT YOU logo
ABOUT YOU Information Technology & Services Large
1001 - 5000 Employees
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Job description

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Your missions

Company Description

 

    Job Description

    We are looking for a Senior BI Data Scientist (m/f/d) - BI APP to be part of the development of our Business Intelligence Application. Our BI APP circle is embedded in our new circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience.

    Our BI-APP Team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience. You will develop the algorithms powering our recommendations.

     

    What you will do

    • Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques
    • Deploy your solutions into production, taking full ownership and ensuring high performance and scalability
    • Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment
    • Challenge the status quo by identifying areas for improvement in existing recommendation systems, particularly those relying heavily on business logic, and propose data-driven solutions
    • Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference
       

    Who you are

    • At least 5 years of experience in working as a Data Scientist
    • Proficiency in Python or a scientific computing language (e.g., MATLAB, R, Julia)
    • Strong SQL skills and experience with large datasets (e.g., pandas, numpy, dask)
    • Solid understanding of machine learning principles, with hands-on model building and deployment experience
    • Proven success in delivering ML solutions that drive business value
    • Expertise in data pipelines, cloud platforms (GCP Vertex AI, Amazon SageMaker), and statistical model evaluation
    • Familiarity with CI/CD tools and generative AI frameworks is a plus
    • Excellent English communication skills, with the ability to explain complex ML concepts to both technical and non-technical stakeholders
    • Proven collaborator in setting standards for ML model deployment and fostering a proactive, knowledge-sharing environment

     

    What you will get on top
     

    • 40 % employee discount in our shop
    • Flexible working hours or paid overtime
    • Hybrid working
    • Internal referral program 
    • 16,80€ mobility subsidy
    • Support in Relocation and VISA process
    • International & diverse working environment
    • Company pension scheme
    • Sports courses:  e.g.  gym membership and internal sport teams
    • Laracast & Egghead Account
    • Mental health & wellbeing workshops
    • Inhouse parcel station
    • Exclusive discounts via “Corporate Benefits”
    • Participating in Employee Share Program 
    • Language courses
    • Free choice of hardware (Mac or Windows)
    • Weekly changing benefits 
    • Bike-Leasing (Swapfiets)
    • State-of-the-art Technologies

    Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Industry :
    Information Technology & Services
    Spoken language(s):
    Check out the description to know which languages are mandatory.

    Soft Skills

    • Collaboration
    • Communication
    • Problem Solving

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