Data Scientist (m/f/x)

Apply now »

Date: 05-Dec-2021

Location: Munich, Germany, 81379

Company: Daiichi Sankyo Europe


Passion for Innovation. Compassion for Patients.


Daiichi Sankyo and its 16,000 employees in more than 20 countries are dedicated to the creation and supply of innovative pharmaceutical products. In Europe, we focus on two areas: In the cardiovascular space, our strong portfolio of medicines reflects our long-standing commitment and shows that we care for every heartbeat; in oncology our goal is to become a global pharma innovator until 2025 by providing novel therapies to patients across the world. Our European headquarters are in Munich, Germany, and we have affiliates in 13 European countries. For more information:


For our headquarter in Munich we are seeking highly qualified candidates to fill the position


Data Scientist (m/f/x)

The position:

Daiichi Sankyo Europe is creating a Digital Innovation Hub to accelerate the development and scaling of digital solutions across our European organization. The Digital Innovation Hub acts as an internal solution incubator and serves as a catalyst for Daiichi Sankyo Europe to deliver best-in-class customer experience for relevant digital content, solutions and services by knowing customers and their patient needs best.


Join Daiichi Sankyo as a Data Scientist and become part of our Digital Innovation Hub, an exciting an inspiring place to work. In this role, you help us to identify business value drivers (challenges & opportunities) through development of efficient and accurate analytical models that mimic business decisions. You incorporate them into analytical data products or tools with the support of a cross functional team. 


Your digital heart beats for applying your strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. Therefore, you closely collaborate with business partners and colleagues from different disciplines, locations and functional units to define the technical problem statement and hypothesis to test.


You directly report into the Business Analytics Translator and act as first point of contact for developing analytical models. You are an expert in statistics, machine learning & AI to lift our customer understanding & insights to the next level. These insights help us to continuously optimize our omnichannel approach to deliver more personalized and relevant content to the right customer at the right time. You're a quick learner to business needs and thrive in fast paced environment who proactively thinks about how his/her contribution integrates within the wider team's.


At Daiichi Sankyo, we care for every heartbeat and you will help us to make a difference in by embracing digital into the heart of our business. Empowering. Meaningful. Every day.


Roles and responsibilities:

  • Devise tech solutions for the Advanced Analytics platform: Design, create, test and implement complex models and algorithms that drive analytical solutions throughout the organization

  • Deliver tested code and proactively contribute to finding and fixing errors in the code

  • Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance within the DS models

  • Engineer features by using business acumen to find new ways to combine disparate internal and external data sources

  • Coordinate with data engineers, business leads, commercial and IT to deliver holistic analytical solutions that are seamlessly incorporated into analytic data products

  • Ensure functionality & insights in "run" through timely analysis and testing for regular maintenance of solutions over time

  • Liaise with stakeholders to disseminate AA driven culture by supporting the Business Analytic translator in communicating the design, functioning and output of the analytical models/solutions developed

  • Advocate the value of data driven decision making focusing on the “how and why” of solving problems

Personal skills and professional experience:

  • MS/PhD in Computer Science or Electronics or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline

  • 5+ years experience in a statistical and/or data science / business intelligence role, preferably in a digital unit of a start-up, digital consultancy, tech company and/or a pharma

  • High ability to convey concepts to translate customer needs into value adding analytics models based on a sound data strategy

  • Extensive programming experience in Python, esp. working with data frames. Experience with version control (e.g. git) is required 

  • Proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets

  • Knowledge of deep learning as well as hands-on experience with libraries such as Pytorch, TensorFlow and OpenCV

  • Experience with supporting deployment, monitoring, maintenance and enhancement of models

  • Proven ability to merge and transform disparate internal & external data sets together to create new features

  • Experience with data visualization tools, preferably: Qlik, Power BI etc.

  • Experience in GPU programming

  • Strong understanding and openness to work in agile environments with multiple stakeholders

  • Number sense and healthy skepticism around validity of data and its inherent biases

  • Experience with Big Data technologies desired: Hadoop, Spark, Cloud AI platforms, containerization

  • Excellent language proficiency in English (at least C1)

  • International work experience


What we offer

Working at Daiichi Sankyo

At Daiichi Sankyo in Europe, we offer a workplace where your voice is heard. Everything we do, we do with a high level of commitment and a clear focus on patients’ needs. We know that our bold ambition to change patients’ lives for the better can only be achieved through the power of collaboration and the exploration of new approaches. Thus, we encourage our colleagues across Europe to be courageous, to bring their ideas to the table and to embrace opportunities to grow. When you join our European family, you will be a part of a dynamic company where everyone, no matter their role, rolls up their sleeves and gets things done.