Job description
Fuse is on a mission to disrupt healthcare. Our focus on technology, design and a product mindset will help drive that disruption and establish Cardinal Health as a leader in healthcare technology. Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. We leverage technology and insights across the enterprise to solve customer problems and forge new models. Design thinking drives our teams to imagine and invent the next horizon. It’s more than technology innovation – it’s creating new business models beyond our wildest dreams. With a strong leadership team setting the bar high, Fusers are challenged to bring their creativity, technical expertise and diverse perspectives to do the best work of their lives.
The Data Scientist is a key role in the transformation of business. They will work closely with business stakeholders to understand their goals and determine how data science can be used to achieve those goals. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
Responsibilities
Designing and developing machine learning and deep learning solutions and systems.
Using statistical analysis determine which data modeling approach to use and running / training machine learning tests and experiments. Implementing appropriate ML algorithms.
Mine and analyze large structured and unstructured datasets. Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
Work across diverse teams, perspectives and opinions and quickly build consensus.
Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.
Communicate results and statistical concepts to key business leaders.
Create visualizations of data that make distributions, trends, and results easy to understand for business leaders.
Diagnose business need, analyze business process, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.
Proactively develops, maintains and evangelizes technical knowledge in Machine Learning and adjacent technologies. Keeps up-to-date on current trends and best practices.
Accountabilities in this role:
Possess functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
Assist in implementation of ML related efforts to ensure their operational viability.
Understand and enable Commercial Technology’s business via an efficient and effective ML practice that provides ML solutions and outcomes at the most efficient cost.
Ensure effective designs and quality deliverables in the ML space by designing and developing machine learning and deep learning systems, running machine learning tests and experiments, implementing appropriate ML algorithms
Aide adoption of ML solutions within the business by conducting training, coordinating demos.
Ensure projects are delivered in-line with ML Reference Architecture, road map and to the defined standards and best practices.
Effectively communicate and influence others towards future state solutions and architectures. Evangelize the purpose and value of Machine Learning solutions.
What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems
Solutions are innovative and consistent with organization objectives
Completes work; independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues
Qualifications
Required:
Proven Machine Learning experience and involvement in data science project or product delivery.
Experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git.
Understanding of cloud data engineering and integration concepts. Strong mathematical and statistical skills.
Preferred:
4-8 years of experience
3+ years in the Healthcare industry and knowledge of clinical data.
Masters Machine Learning, PhD in Physics, Economics, Applied Mathematics, Computer Science, ML.
Delivery experience with Google Cloud Platform.
Delivery of related information software solutions such as data warehouses and integration platforms.
Agile development skills and experience.
Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. Advanced technical degree is a major plus.
Anticipated salary range: $88k-$126k
Bonus eligible: No
Benefits: Health Insurance, 401k Contributions, Paid Time Off, Vacation, STD/LTD
Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
