Data Scientist/ML Engineer (m/f/d)

About this role

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Data Scientist (m/f/d)

As a Data Scientist / Machine Learning Engineer (m/f/d) you are responsible for scientific approaches within real-world business innovation to generate insights and product improvements, centering around recommender systems.

You decide where you work: Germany-wide from your home office, at one of our locations in Constance or Munich or a hybrid mix.

WHAT YOU CAN EXPECT

As Data Scientist at coliquio, you are responsible for scientific approaches to generate insights, improvements and product innovation. Here, you are at the interface between (raw) data and business strategy. You are focal to identify, define and implement innovative Data Science projects to evolve recommender systems, support business strategy with experiments (in campaigns or product development), ML/AI approaches to experiments to drive engagement of users.

You are working in an integrated team of a highly motivated experts covering everything Data from Data Engineering and Data Architecture to Data Analytics and Business Analytics.
You are driving projects from PoC to production and support ongoing (gen)AI enablement and -adoption of the company.

WHAT YOU BRING TO THE TABLE

• Minimum of 2-5 years of working as Data Scientist or ML Engineer with expert knowledge of recommender systems, preferably in context of online platforms, marketplaces / e-commerce or content marketing.
• Excellent knowledge and provable success in using python (e.g. Pandas, NumPy or SciKit-learn) to work on data.
• Solid Experience using Machine Learning Frameworks (e.g. Tensorflow, PyTorch or XGBoost) to create models and train them to use cases. Knowledge of collaborative o...