Data Science Analyst - Santiago de Chile - Johnson & Johnson

Johnson & Johnson

Empresa verificada

Santiago de Chile

hace 1 semana

Publicado por:

Valentina Hurtado

beBee Recruiter

Descripción

"Johnson & Johnson companies are equal opportunity employers"

At Johnson & Johnson, the largest healthcare company in the world, we come together with one purpose: to profoundly change the trajectory of health for 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 Next Move Could Mean Our Next Breakthrough. _

Sr. Data Scientist

The Data Scientist role will draw on a wide palette of optimization modeling, mathematics, statistics, and programming techniques to uncover business insights hidden within the data, obtain business intelligence and support data-driven decision-making in operations and supply chain, and contribute technical depth in driving high-impact deployment of innovative solutions across the organization.

The scope of responsibility encompasses analytics-based decision support across the Supply Chain organization at strategic, tactical and operational levels.

You will be responsible for:

Daily responsibilities will include (but are not limited to):

Performing statistical analysis of structure/unstruct data sets; development of data driven mathematical models (main focus in longtern decision making process)
Develop computational solutions in scripting languages such as: Julia, Python, Mosel; managing different working relationship in order to get all the pieces of information to solve business problems.

Qualifications:

Requirements and Education:

An B.Sc. or M.Sc.

degree, in Operations Research, Industrial Engineering, Chemical Engineering, Computer Sciences, Statistics, Machine Learning and Artificial Intelligence, or a related discipline is required.

Knowledge and Skill Sets:

Strong working knowledge of mathematical optimization specially in algorithm development. Strong understanding of manufacturing and business processes. Experience developing mathematical programming models for process optimization. Strong knowledge of supply chain and operations management processes, such as planning, scheduling, inventory management.

Working knowledge in data mining algorithms including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, Bayesian models.

Familiarity with large datasets, handling of healthcare relevant datasets and understanding of data analysis workflows.

Computer Skills:

Programming language such as: