Principal Data Scientist, Sr. Manager - Sao Paulo, Brasil - Johnson & Johnson
Descrição
Principal Data Scientist, Sr. Manager
At Johnson & Johnson, the largest healthcare company in the world, we come together for one purpose: to transform the history of health in humanity.
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 are searching the best talent for
Principal Data Scientist, SR. Manager to be in
São Paulo, Brazil.
Purpose:
Impact
- Demonstrated business (financial) impact of technical / scientific contributions
- Proven track record as a mentor of more junior data scientists
Degree of Supervision / Autonomy
- Works with little to no supervision, exceling with a high level of autonomy
- Conceives, leads and executes Data Science projects either alone or as a leader member of a matrixed team
Innovation
- 10% of time expected to be dedicated to innovative projects relevant to the healthcare space and approved by the leadership team
Nature of Communication
- A data "storyteller" with a strong ability to translate highly technical, scientific results to a range of technical and business audiences
- May have interaction with senior internal and external colleagues with coordination between departments
- Engages in scientific ideation and exchange with internal and external audiences
You will be responsible for:
- Provides thought leadership for complex business problems that require a scientific approach by leveraging indepth 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
- Leverage advanced analytics and visualization tools and technologies such as Python, R, Java, SQL, noSQL, Azure, AWS, Dataiku, Data Robot, Kubernetes, Cloudera, DataBricks, 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
- Produce results with measurable scientific or business impact, resulting in demonstrated financial impact or work product of scientific value (patents, publications, podium presentations)
- Mentor more junior data scientists within the immediate organization
Qualifications:
Qualifications and requirements:
- Ph.
with 8 years of relevant experience, in Mathematical Sciences, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Economics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline.
- Minimum 1 publication, patent, or national/international podium presentations on directly relevant work
Mais empregos da Johnson & Johnson
-
Cross Country
Sao Paulo, Brasil - há 1 semana
-
Latam Transparency Reporting Lead Analyst- Fixed
Sao Paulo, Brasil - há 3 dias
-
IT Strategy
Sao Paulo, Brasil - há 1 semana
-
Regulatory Affairs Sr. Specialist
São Paulo, Brasil - há 6 dias
-
Especialista de Garantia Qualidade Sr
Sao Paulo, Brasil - há 3 dias
-
Analista de Contabilidade Pl
Sao Paulo, Brasil - há 1 dia