Python Job: Data Scientist

Do you have expertise in building data science solutions? Are you passionate about problem solving and new technologies? If your answer is yes, this job might be for you!

About AstraZeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the leading pharmaceutical companies.

What you’ll do

As a data scientist you will lead our efforts around data capabilities, analyzing large amounts of raw information to find patterns that will enhance AZ Portugal business.

You will work in partnership with AZ business across multiple disease areas, Brands & Indications. You will work with AZ Internal and External Datasets to extract multiple layers of intelligence to support business insights and strategic decision-making processes.

You will work with our internal network of Data Scientists, to advance our data science & machine learning models in order to extract layers of intelligence from vast quantities of structured and unstructured Data (Patient, Physician, Health Systems, Internal Sales and Marketing, Scientific content, Social, etc.)

The ideal candidate will possess a blend of computational science skills, successful experience building quality data science-based algorithms & applications and a great track record of applying data science to real-world problems.

Other responsibilities might include:

• Working as part of the wider cross functional team including Data Science & AI, Commercial, Medical, IT in AZ Portugal and AZ Global Functions
• Working closely with other teams to help access and leverage data science to answer research questions
• Collaborating with our partners in Commercial and business teams to build scalable data Science solutions
• Researching and applying the latest algorithms and methods to relevant business problems
• Identifying valuable data sources and automate collection processes
• Undertaking preprocessing of structured and unstructured data
• Analyzing large amounts of information to discover trends and patterns
• Building predictive models and machine-learning algorithms
• Combining models through ensemble modeling
• Presenting information using data visualization techniques
• Proposing solutions and strategies to business challenges

Essential skills and qualifications:

• BS (or equivalent number of years’ experience) in mathematics, computer science, engineering, physics, statistics, computational sciences
• Experience in data mining
• Understanding of machine-learning (Supervised and Unsupervised Methods),
  including classification and regression algorithms such as k-means clustering, support
  vector machines, random forests and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java, C++ and database systems, such as SQL, NoSQL
• Experience using business intelligence tools (e.g., PBi) and data frameworks (e.g., Hadoop)
• Strong math skills (e.g., statistics, algebra)
• Problem-solving aptitude
• Fluency in written and verbal English

Desirable for the role:

• Desire and curiosity to learn new technologies/methods in Data Science.
• Working knowledge of cloud environments (AWS preferred)
• Ability to explain complex methods and techniques to a non-technical audience
• Ability to collaborate closely with cross-functional teams
• Good communication, written and verbal skills
• Analytical mind and business acumen