Data Scientist (all genders)

Key Skills

Agile methodologies, AWS Sagemaker, Data Analysis, Data cleaning / Data cleansing, Data science techniques, Data Visualization, ggplot, Machine learning techniques, Natural Language Processing (NLP), Python Programming, QlikView, R Programming, SQL, Statistics, Tableau

Job Description

Welcome to AbbVie! As part of an international company with 48,000 employees worldwide and around 3,000 employees in Germany, you are very close to tackling the health challenges of tomorrow with us. Are you passionate about advancing healthcare worldwide and using your know-how to improve the quality of life of patients? And that in a challenging work environment that allows you to further develop your own skills? Then you are right with us!

As a team member in our diverse Customer Excellence department, you will use your skills and passion to make a significant contribution to bringing medical developments forward - whether in sales, marketing or market access.

Put your know-how to the test and become part of our team in Wiesbaden

Data Scientist (all genders)

Here you get things moving:

• Statistical analysis of causal relationships of our sales and marketing activities
• Development of machine learning models to optimize our resource allocation (ROI)
• Analysis and clustering of customer groups and development of recommendation algorithms
• Development of predictive models to predict market dynamics
• Development of NLP models for evaluating large amounts of text from market research data

Here's how you make the difference:

• University degree in business informatics, mathematics, physics or a comparable degree
• At least 3-5 years of hands-on data science experience, ideally in a sales and marketing organization
• Experience working with prescription data and sales activity data in the pharmaceutical sector desirable
• Experience in the independent management of data science projects, ideally in agile projects
• Sound statistical knowledge and experience in the practical application of statistical methods
• Experience in the independent development and application of machine learning models
• Experience in time series analysis and forecasting techniques
• Confident use of Python including relevant packages such as pandas, scikit-learn, statsmodels and scipy
• Very good communication skills in German and English, including the ability to present complex issues in an understandable way

Our contribution for you:

• A varied field of activity in which you can really make a difference
• An open corporate culture
• An attractive salary
• Intensive training by a mentor
• Flexible working time models for a healthy work-life balance
• Company health management with comprehensive health and sports programs
• Company social benefits
• Diverse career options in an international company
• Attractive further development opportunities at a high level
• A strong international network

Bring a breath of fresh air to our team – and your career

At AbbVie you will find a workplace where your individual commitment counts so that together we can achieve great things. Be there and grow with us - always surpass yourself!

Does that sound like the perfect career opportunity for you? Then we look forward to receiving your application! All you need is a complete curriculum vitae – if you are fundamentally suitable, we would be happy to discuss everything else in person.

And with questions? Send us an email to TalentAcquisition.de@abbvie.com - we look forward to hearing from you!

AbbVie is an equal opportunity employer including disability/vets. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information , gender identity or expression, sexual orientation, marital status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person's relationship or association with a protected veteran, including spouses and other family members, or any other protected group status. We will take affirmative action to employ and advance in employment qualified minorities, women, individuals with a disability, disabled veterans, recently separated veterans, Armed Forces service medal veterans or active-duty wartime or campaign badge veterans. The Affirmative Action Plan is available for viewing in the Human Resources office during regular business hours.

• Travel: Yes, 5% of the time
• Job Type: Experienced
• Schedule: Full time