Senior Data Scientist - Advanced Analytics

Key Skills

Aartificial intelligence, Advanced Analytics, Algorithms, Analytical and Problem solving, AWS, AWS Sagemaker, Bayesian networks, C Programming, C++, Cloud computing, Data Analysis, Data Mining, Data science techniques, Deep Learning, Effective communication skills, English Proficiency, Java Programming, Machine learning techniques, Predictive Modeling, Python Programming, R Programming, Reinforcement Learning, SQL, Statistical modeling

Job Description

Senior Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders

Main Responsibilities:

Senior Data Scientist rapidly navigates from identifying priorities/helping to generate ideas to implementing the solution. He/she:

• is responsible for implementing statistical and Machine Learning methodologies and data analysis techniques as set forth in project requirements and reviews/discusses/validates insights generated with key business stakeholder (i.e., “so what”) to ensure highest-quality and effective data science solutions
• produces high-quality code that allows us to build scalable solutions and put solutions into production
• He/she collects, cleans and aggregates data in order to use them for Data Analysis, Modelling and Insights.
• has a passion to see own work translated in business results collaborates with team members towards achieving projects objectives
• takes a lead in the development, deployment, and integration of prioritized Advanced Analytics solutions in collaboration with local/regional cross-functional teams and/or external partners
• leads and actively contributes to the development and completion of documents, demos or presentations as needed
• builds and maintains a close contact to key business stakeholders and relevant communities
• derives and continuously refines AA guidelines and standards through synthesizing learnings from prioritized AA initiative
• understands core business challenges and helps derive a suitable global AA roadmap based on this understanding in collaboration with key stakeholders.

Your Profile:

• Master in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
• At least 4 years (senior) / 6-8 years (principal) of relevant working experience, ideally in pharma environment
• Good /solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).
• Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms
• Practical experience in deploying machine learning solutions
• Programming experience in R or Python and ideally also in object-orientated programming such as e.g., C, C++, Java
• Good understanding of good software engineering principles
• Good knowledge of testing frameworks and libraries
• Experience of AWS / Sagemaker a plus
• Proven problem-solving ability in international settings
• Strong background in analytics and statistics
• Proven communication skills
• Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders. Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus
• Fluency in English a must, additional languages a plus

Do you like the sound of this job and think you’ve got what it takes?

Then send us your CV today. We look forward to receiving your application online in pdf format.