Senior Data Scientist (m/f/d) - Business Intelligence Application

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Hiring Remotely in Hamburg, DEU
In-Office or Remote
Retail • Software
The Role
Company Description

 

    Job Description

    We are looking for a Senior Data Scientist (m/f/d) 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 experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++)
    • Strong SQL skills with experience in analytical or transactional database environments
    • Proven experience in building and deploying machine learning solutions that deliver tangible business value
    • Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …)
    • Experience designing, building, and managing data pipelines
    • Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker)
    • Solid understanding of statistical methods for model evaluation
    • Big Data: Experience analyzing large datasets using statistical and machine learning techniques
    • Excellent written and verbal communication skills in English.
    • Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders
    • Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models
    • A proactive approach to knowledge sharing and fostering a quick development environment
       

    Nice to have
     

    • Experience with BigQuery
    • Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform)
    • Experience with generative AI frameworks (e.g., LangChain)
    • Understanding of recommendation systems in e-commerce and retail
    • Knowledge of time series and (graph) neural network models
    • Familiarity with statistical testing and Gaussian Processes
    • Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch)
    • Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g. MLFlow, Kubeflow, …)
    • Experience with deep learning libraries (e.g., TensorFlow, PyTorch)
    • Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio)
    • Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines
    • Practical knowledge of Docker
       

    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

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    The Company
    Hamburg
    196 Employees
    Year Founded: 2018

    What We Do

    SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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