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Senior Data Scientist (m/f/d) - BI App - onsite in Hamburg or Berlin

ABOUT YOU GmbH

Hamburg

Hybrid

EUR 60.000 - 80.000

Vollzeit

Gestern
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Zusammenfassung

A leading company in e-commerce is seeking a Senior Data Scientist to enhance their Business Intelligence application. The role involves designing algorithms to power personalized shopping experiences, managing data pipelines, and collaborating in a dynamic environment. Candidates should have extensive experience with machine learning and strong communication skills to engage with both technical and non-technical stakeholders.

Leistungen

40% employee discount in shop
Flexible working hours
Hybrid working
Internal referral program
€16.80 mobility subsidy
Support in relocation and VISA process
International & diverse working environment
Company pension scheme
Sports courses available
Mental health & wellbeing workshops
Free choice of hardware (Mac or Windows)
Bike-Leasing
Weekly changing benefits

Qualifikationen

  • 5+ years of experience in working as a Data Scientist.
  • Strong SQL skills with experience in analytical databases.
  • Ability to effectively communicate complex machine learning concepts.

Aufgaben

  • Design and develop innovative algorithms for personalized shopping experiences.
  • Deploy your solutions into production, ensuring high performance.
  • Identify and propose data-driven solutions for improvement in existing systems.

Kenntnisse

Python
SQL
Machine Learning
Statistical Methods
Data Structures
Communication

Ausbildung

5+ years experience as Data Scientist

Tools

BigQuery
TensorFlow
PyTorch
Docker

Jobbeschreibung

Company 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”
  • Participation 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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