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

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 or content-based filtering including libraries Lightfm, Surprise, or Tensorflow-based recommenders.
• Foundational Data Engineering skills, especially SQL. Knowledge in docker-based cloud platforms is a plus.
• Foundational Software Engineering methodology and experience to build products is a plus.
• You bring a customer-first mindset and pragmatical mindset and enjoy working in a team of experts and with changing peers in product as well as breaking down complex topic clusters into relevant actionable Data Science building blocks.

WHAT WE OFFER

• Flexibility: With us, you can organize your working hours to suit you and your team and work wherever you want thanks to our Germany-wide remote concept.
• Impact: Do you want to create real added value with your work? With us you have the chance! With your work on relevant digital health topics, you will actively drive digitalization in the healthcare sector, improve communication between pharma and the medical profession and ultimately the treatment of patients.
• Goodies: With us, you will receive an allowance every month that you can use according to your needs (e.g. for shopping, refuelling, leisure time and much more), an allowance to set up your home office workstation, job bike leasing, attractive employee discounts and much more.
• Welfare: We offer subsidies for the company pension scheme, a functioning company health management programme (BGM) and a subsidy for membership of one of the largest German company fitness providers.
• Free time: We attach great importance to a good work-life balance and, in addition to 30 days' holiday, we also offer you the chance to take a sabbatical and a paid social day where you can get involved in voluntary work.

WHAT WE DO AT COLIQUIO

With more than 190,000 registered users, coliquio is the largest community for doctors in the German-speaking world. In agile, cross-functional teams, we develop projects and new products with a clear goal: more dialog for better medicine - within the medical profession, but also between the medical profession and the pharmaceutical industry. We create an environment in which practice-relevant medical knowledge is easily accessible and available when it is really needed.

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