AI Data Scientist
Role details
Job location
Tech stack
Job description
Your focus: applying advanced data science and AI methods to elevate personalization, streamline processes, and enhance the overall shopping experience. You collaborate closely with our teams in Development, Marketing, Content, E-Commerce, and Pricing - together you create AI-driven solutions that make our webshop smarter, faster, and even more customer-centric., * Build modern data pipelines - both real-time and batch - that serve as the engine for all AI features across our webshop.
- Develop and implement NLP models that make our chatbots smarter, refine product descriptions automatically, and accurately capture sentiment in customer reviews.
- Continuously monitor and improve models, detect deviations early, and maintain strong feedback loops to ensure long-term model quality.
- Use computer vision to automatically recognize products, enable visual search, and ensure image quality across our assortment.
- Design robust data models in close collaboration with our data engineers - forming a solid foundation for all AI applications.
- Perform exploratory data analysis to identify trends, bottlenecks, and opportunities, and derive concrete optimization measures.
- Work closely with Development, Data Engineering, Product, and Marketing to turn data-driven insights into real, measurable improvements in the shop.
- Plan and conduct A/B tests, analyze results in depth, and optimize our AI-driven features accordingly.
- Bring AI insights into business processes through cross-functional collaboration and actively drive innovation.
- Apply ethical considerations, particularly regarding data quality, privacy, fairness, and transparency.
- Identify opportunities for automation to make processes smarter, more efficient, and more scalable.
- Communicate complex modeling decisions and results in clear, accessible language.
Requirements
Completed degree in Data Science, AI, Statistics, Computer Science, or a related field (Bachelor's or Master's). Erfahrung Strong analytical thinking and excellent problem-solving skills. Experience in deploying AI and ML models to production, including monitoring and continuous optimization. Excellent Python skills, including Pandas, NumPy, Matplotlib, Seaborn, PyTorch, TensorFlow, Keras, GenAI and LLM tools, SQL, BigQuery, AWS, Azure, Snowflake, APIs, and Docker. Broad ML expertise, covering supervised and unsupervised learning, clustering, ensemble methods, and reinforcement learning. Production ML experience, including model deployment, version control, monitoring, and CI/CD processes. NLP expertise in chatbots, sentiment analysis, and automated product text generation. Computer vision skills for image recognition, visual search, and quality control. Knowledge of recommendation systems, including collaborative, content-based, and hybrid approaches. Experience with predictive analytics, such as demand and sales forecasting or customer behavior analysis. Competence in anomaly detection, e.g., fraud detection or inventory monitoring. Familiarity with personalization algorithms, including dynamic pricing and personalized promotions. Detail-oriented and data-driven, with the ability to quickly grasp complex issues. Strong communication skills, able to translate business requirements into technical solutions and present technical results clearly. Team player, comfortable working cross-functionally and managing multiple projects in parallel., * Completed degree in Data Science, AI, Statistics, Computer Science, or a related field (Bachelor's or Master's).
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At least 3 years of relevant experience in data science or AI, ideally in e-commerce or retail.
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Strong analytical thinking and excellent problem-solving skills.
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Experience in deploying AI and ML models to production , including monitoring and continuous optimization.
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Excellent Python skills , including Pandas, NumPy, Matplotlib, Seaborn, PyTorch, TensorFlow, Keras, GenAI and LLM tools, SQL, BigQuery, AWS, Azure, Snowflake, APIs, and Docker.
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Broad ML expertise , covering supervised and unsupervised learning, clustering, ensemble methods, and reinforcement learning.
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Production ML experience , including model deployment, version control, monitoring, and CI/CD processes.
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NLP expertise in chatbots, sentiment analysis, and automated product text generation.
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Computer vision skills for image recognition, visual search, and quality control.
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Knowledge of recommendation systems , including collaborative, content-based, and hybrid approaches.
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Experience with predictive analytics , such as demand and sales forecasting or customer behavior analysis.
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Competence in anomaly detection , e.g., fraud detection or inventory monitoring.
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Familiarity with personalization algorithms , including dynamic pricing and personalized promotions.
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Detail-oriented and data-driven , with the ability to quickly grasp complex issues.
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Strong communication skills , able to translate business requirements into technical solutions and present technical results clearly.
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Team player , comfortable working cross-functionally and managing multiple projects in parallel.
Benefits & conditions
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28 days of vacation: Enjoy plenty of time to rest and recharge
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Hybrid work: Flexible working with remote options
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Inhouse care: A stylish new office building in the heart of Heilbronn - with our own barista machine, gaming corner, terrace for shared lunches or table tennis, free drinks, and much more
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High-quality equipment: Work with first-class tools in a modern environment
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Flexibility: Digital time tracking and a flextime account with the option for time-off compensation Employee discount s on the entire online beauty assortment at parfumdreams
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Discounts on beauty treatment s in our stores
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Wellhub for fitness and balance, plus exclusive offers through our Corporate Benefits platform
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Company pension plan: Your financial security for a worry-free future
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Beauty with Purpose: Work in an environment that doesn't just follow trends but helps shape them - with a focus on innovation, quality, and sustainable brands
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Inspiring work environment: Be part of a fast-growing company with plenty of movement, short decision-making paths, and a culture where new ideas are always welcome
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Team culture: Open, honest, supportive - we pull together, celebrate successes, and learn from mistakes
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Company events: Unforgettable experiences that create lasting memories
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Four-legged colleagues welcome: Dogs are allowed in the office
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#comeasyouare: No dress code, https://behindbeauty.douglas.de/ Was wir bieten
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28 days of vacation: Enjoy plenty of time to rest and recharge
-
Hybrid work: Flexible working with remote options
-
Inhouse care: A stylish new office building in the heart of Heilbronn - with our own barista machine, gaming corner, terrace for shared lunches or table tennis, free drinks, and much more
-
High-quality equipment: Work with first-class tools in a modern environment
-
Flexibility: Digital time tracking and a flextime account with the option for time-off compensation
-
Employee discounts on the entire online beauty assortment at parfumdreams
-
Discounts on beauty treatments in our stores
-
Wellhub for fitness and balance, plus exclusive offers through our Corporate Benefits platform
-
Company pension plan: Your financial security for a worry-free future
-
Beauty with Purpose: Work in an environment that doesn't just follow trends but helps shape them - with a focus on innovation, quality, and sustainable brands
-
Inspiring work environment: Be part of a fast-growing company with plenty of movement, short decision-making paths, and a culture where new ideas are always welcome
-
Team culture: Open, honest, supportive - we pull together, celebrate successes, and learn from mistakes
-
Company events: Unforgettable experiences that create lasting memories
-
Four-legged colleagues welcome: Dogs are allowed in the office
-
#comeasyouare: No dress code
