Senior Data Scientist

Senior Data Scientist

Job Description:

At the heart of our business is a vision to make improvements in life possible. We are on an exciting mission to make a real difference in science and healthcare. We have achieved a size where we can bring our full power to many initiatives and our presence across the globe. Our most valuable asset is our employees in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us. If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic, international and diverse teams, and want to make a real impact on people’s lives, then this is where you need to be. Join us and make a difference every day.

IT Languages:

• R
• Python

Position Overview:

Lead individual, international data science projects within a global matrix organization to achieve goals within the required timeline., Utilize advanced analytical methods and develop algorithms/models to extract insights from diverse data sources that drive business across the whole value chain., Interact with key stakeholders to understand their needs and translate those needs into precise analytical solutions to inform strategy and help draw conclusions. Be the analytical partner for business that enables and promotes making data-driven choices., Clearly communicate analytical solutions and results to both experts and non-experts., Support further development, maintenance, and refinement of the data infrastructure, dashboards, and algorithms of the Data Science & AI department.

Spoken Languages:

• English, German, French

Skillset:

• Machine Learning
• Data Analysis
• Statistical Modeling
• Algorithm Development
• Data Visualization
• Project Management

Qualifications:

• Minimum three years hands-on industry experience with data science or advanced analytics projects.
• Master’s degree in a quantitative field such as mathematics
• physics
• computer science
• engineering
• or bioinformatics; PhD preferred.
• Expert knowledge of supervised and unsupervised machine learning techniques.
• Solid understanding of probability theory
• statistics
• and time-series analysis including Bayesian statistics
• ARIMA
• MCMC
• and ANOVA.
• Proficient in R and Python
• and familiar with common machine learning libraries such as sklearn
• keras/tensorflow
• PYMC3
• and statsmodels. Programming in Spark is a plus. Knowledge of software development practices and tools for source control and project management like Git
• JIRA
• and Azure DevOps is beneficial.

Years of Experience:

3

Location:

Europe

Job Benefits:

• Additional medical services
• Company pension
• Sport activities/facilities
• Flexible working hours
• Company laptop
• Fitness programs
• Incentives & events
• Parking space
• Employee discount
• Sabbatical
• Cafeteria
• Meal coupons
• Company mobile phone
• Childcare
• Company medical officer
• Stock options
• Coaching
• Home office
• Company car
• Public transport ticket
• Barrier-free access
• Good transport connections

Working Conditions:

Full Time

Employment Type:

Permanent contract

Company Culture:

• Dynamic
• innovative
• and collaborative environment focused on making a positive impact.

Opportunities For Advancement:

• Significant opportunities for career development and professional growth within the organization.

visa Sponsorship:

Available