Sr. Staff Data Scientist

Becton Dickinson Medical Devices•Durham, NC

1d•Onsite

About The Position

Job Description Summary The Data Scientist is a critical position for understanding of the current state of product performance, quality system performance and regulatory compliance standards. The Data Scientist will work with Global Process Owners and other key stakeholders to identify opportunities for leveraging company data to drive analytical solutions. The Data Scientist is an expert in using advanced analytical and technical skills to convert raw data into actionable business insights as well as creating, evaluating, and implementing data science solutions. This includes data preparation, data visualization, exploratory analysis and software development related to data science. Job Description We are the makers of possible BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us.

Requirements

Bachelors' degree in applied mathematics, engineering, or other relevant discipline.
7 years of relevant work experience in data science.
5 years in a direct and/or matrixed leadership role in data and analytics
Experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience presenting data and analysis to upper management.

Nice To Haves

Master's degree in Data Engineering ore relevent field
Advanced statistical techniques and concepts and experience with applications.
Knowledge of statistical computer languages to manipulate data and draw insights from large data sets.
Solid working knowledge of Python, R, HQL, TensorFlow, PyTorch, SPARQL, D3JS.

Responsibilities

Develop and complete a data science strategy which is a part of the larger Digital Analytics Data Strategy aligned with Central Quality’s goals
Understand business problems and design end-to-end data science use cases while providing business case analysis demonstrating how indicating value add
Central Quality Lead for Deployment of Databricks ML OPS environment
Provide Inputs to data science strategy which is a part of the larger Digital Analytics Data Strategy aligned with Central Quality’s goals
Central Quality Lead for Deployment of Databricks ML OPS environment
Cross-functional Collaboration: Collaborate with other departments within Quality, the different business units and across the corporate enterprise to identify product and operational opportunities for data-driven improvements and efficiencies.
Stay up to date with emerging data and analytics technologies, recommending tools or platforms that can enhance the company's capabilities and information awareness.
Collaborate across the function to understand data, IT, and business constraints.
Collaborate with developers to implement and deploy scalable visualization solutions.
Establish best data operational practices and maintain all compliance requirements
Establish the monitoring of data science models in production.
Apply strong expertise in data science to design, prototype, and build the next-generation analytics engines and services.
Increase Data Literacy by guide the organization about the business potential and strategy of artificial intelligence (AI)/data science.
Actively network on a regular basis with domain experts to better understand the business mechanics that generated the data.
Train and coach other business and IT staff on basic data science principles and techniques.
Actively network on a regular basis with internal and external partners.
Promote collaboration and knowledge exchange with other data science teams within and outside BD
Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
Work closely with functions across BDX to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy.
Ability to obtain and document business requirements