Data Scientist, IT LEAD

Key Skills

Java Programming, Design, Python Programming, SQL, Azure, AWS, Machine learning techniques, Data science techniques, NoSQL, Kubernetes-K8s, R Programming, Dataiku

Job Description

Diversity & Inclusion are essential to continue building our history of pioneering and innovation, which has been impacting the health of more than 1 billion patients and consumers every day for more than 130 years. Regardless of your race, belief, sexual orientation, religion, or any other trait, YOU are welcome in all open positions at the largest healthcare company in the world.

When You Join Johnson & Johnson, Your Move Could Mean Our Next Breakthrough.

At Janssen, we’re creating a future where disease is a thing of the past. We’re the Pharmaceutical Companies of Johnson & Johnson, working tirelessly to make that future a reality for patients everywhere by fighting sickness with science, improving access with ingenuity, and healing hopelessness with heart. We focus on areas of medicine where we can make the biggest difference: Cardiovascular & Metabolism, Immunology, Infectious Diseases & Vaccines, Neuroscience, Oncology, and Pulmonary Hypertension.

We are Janssen.

Our mission drives us.

Our patients inspire us.

We collaborate with the world for the health of everyone in it. Please visit

We are searching the best talent for Data Scientist, IT LEAD to be in São Paulo.

Purpose:

The Data and Advanced Analytics team within Pharma LATAM Commercial Technology department of Janssen is looking for an data scientist who is interested in delivering advanced analytics/Machine Learning/AI solutions that have direct impact to Patients and Janssen. The role requires both a broad knowledge of existing ML/AI solutions, creativity to invent, innovative thinking and commitment to materialize the thinking, customize and work in a multidisciplinary environment to drive business solutions.

Our product line is composed by a highly skilled, hands-on team. We have a start-up, can-do attitude and lead in rapidly prototyping and iterating on data, tools, technology and insights to help commercial teams execute in novel ways with decisions motivated by data. We define data strategy, drive data wrangling, explore and execute operational and advanced analytics projects, enable self-service tools and insights generation.

Impact:

• Deliver impactful results by applying methods in Data Science within proven scientific rigor to solve critical business problems

Degree of Supervision / Autonomy:

• Works under limited supervision with a high level of autonomy
• Execute Data Science projects either alone or as a leader member of a matrixed team

Innovation

• Keep up with the latest developments in Data Science-related fields and explore the possibility of applying new methods and techniques to relevant problems

You will be responsible for:

• Provides thought leadership for complex business problems that require a scientific approach by leveraging in-depth domain expertise and skills acquired in computational and Data Science specific programs or related fields
• Designs experiments to test generated hypotheses to provide business insights
• Apply advanced analytics such as optimisation, simulation, machine learning and artificial intelligence for signal detection, pattern recognition, computational learning, cognitive and predictive decision support algorithms to solve complex problems
• Leverage advanced analytics and visualization tools and technologies such as Python, R, Java, SQL, noSQL, Azure, AWS, Dataiku, Kubernetes, etc.
• Integrate and leverage data sets that drive analytical solutions from a variety of data sources including structured, unstructured, voice, image, video, social media and streaming data

Qualifications

• S. with 3 years of relevant experience, in Mathematical Sciences, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Economics, or a related discipline. Alternatively, a BSc in a STEM subject with equivalent knowledge and 5+ years of experience in a business-related data science role will also be considered.