SENIOR DATA SCIENTIST

At Johnson & Johnson,  we believe health is everything.
Our strength in healthcare innovation empowers us to build a  world where complex diseases are prevented, treated, and cured,  where treatments are smarter and less invasive, and  solutions are personal.
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
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Diversity, Equity & 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.
We are searching for the best talent for a Senior Data Scientist to be located at São José dos Campos, Brazil.
The Senior Data Scientist will be a member of the Global Technical Operations - Digital Team within J&J Medtech Surgery, Ethicon Wound Closure and Healing platform and will participate in resolution of challenging problems which impact the business.
The Senior Data Scientist will seek out and incorporate new ideas into concepts that lead to Data Analytics solutions to drive improvements to existing products and processes.
Expectations.
Extract insights from data assets using advanced analytical techniques like Machine Learning, Artificial Intelligence, Optimization, Simulation and Deep Learning to support developing and deploying solutions for real-world business and manufacturing problems.
Understand the business problem statement and identify data sources required for modelling, including systems like SAP S/4HANA, Camstar, Labware/Labvantage, Rockwell Factory Talk, TrakSys, OSI-PI, etc.
Perform multiple forms of advanced analyses, correlating multiple sources to drive insights that functions need to focus on to improve business metrics.
Perform data curation across multiple business systems.
Build, test, validate and launch advanced learning algorithms via rigorous test/control experimentation.
Manipulate data to create new features that could increase the accuracy of an algorithm.
Translate analytics insights into visualization and actionable business and product decisions.
Key Responsibilities.
Dominates product and process flow knowledge.
Define data requirements and define data collection strategy with input of project owner and subject matter experts.
Structures and prepares data.
Selects equipment and information to digitize and define design of network.
Identifies and communicates to stakeholders, meaningful, actionable insights from large data and metadata sources.
Develops Data Analytics SMEs by providing technical expertise, in terms of problem solving for technical and executional problems using advanced knowledge and experience.
Develop Deep Learning algorithms for Vision Engineering solutions.
Ensure validation of systems generated as a result of Data Science projects.
Ensure project timelines and all required project needs are met.
Qualifications Education.
4-6 years with degree in related field.
Advanced English level, as this position will work on corporate scenario, supporting multiple sites world-wide.
Experience and Skills.
Required.
4-6 years as Engineer, Programmer or academic related experience combined with Advanced Statistics, Machine Learning and Agile Methodology knowledge.
B.
.
degree with a minimum of two to four (2 to 4) years of industrial experience.
Knowledge on SAP (S/4HANA) system.
Data Analytics platform experience, such as Tableau, QLIK and PowerBI.
Demonstrates capabilities to share and educate people, driving digital culture of the organization.
Ability to program applications - including understanding of advanced programming languages, including SQL, R, Python, Java, etc.
Displays in-depth knowledge of Descriptive, Prescriptive and Predictive analytics in model development and assessment.
Exhibits comprehensive knowledge in Machine Learning.
Working knowledge on statistical techniques Applies knowledge on product requirements, functionality and field application when developing hypothesis and proposing solutions.
Work with J&J Technology team to propose new solutions (AI, Predictive applications) Uses Finance concepts to create project business cases Preferred.
Need to be studying Master´s of Science in related field.
Data Science certification completed.
Advanced Analytics software experience with Dataiku, SAS or similar.
Must have excellent proven problem-solving skills.
Must be able to communicate effectively orally and in writing.
Must have good interpersonal skills to effectively utilize influence management techniques.
Must be able to apply and comprehend a broad range of engineering and scientific principles.