Data Scientist

The Cognitive Services team believes in innovation. We are using the power of Artificial Intelligence (AI) and Machine Learning (ML) to create operational efficiencies and enable all our associates to perform in a smarter, easier and faster way towards delivering Cerner’s mission to contribute to the systemic improvement of health care delivery and the health of communities, all with the highest quality. We work on complex solutions, so we value the simplicity in the way we operate, fostering a highly collaborative environment, empowering and encouraging decision making in all levels of our team.

The Data Scientist will work on challenging internal business, productivity, and enablement use cases with the primary objective to derive predictive insights that lead to achieving business value for Cerner associates and our clients. We pride ourselves on developing innovative solutions in the areas of enterprise search and artificial intelligence in multiple contexts. Given the problem space, there will be a heavier focus on unstructured and natural language text analysis that will be correlated to structured data signals to predict quantitative business value, leading indicators, search relevancy models, and personalized associate and client digital assistant experiences. Strong problem-solving skills, self-starter, solid written/verbal communication, motivation to achieve results, ability to quickly learn, team attitude, and flexibility/adaptability characterize the attributes that we value for filling this position.

Data & Analytics

Cerner Technology Services

Helping Cerner meet its mission is our mission at Cerner Technology Services. Operating servers and data centers for internal and external use, we are Cerner’s hosting, managing and monitoring organization for infrastructure and the provider of internal and cloud applications and services.

Qualifications

Basic Qualifications

• Master’s Degree in Statistics, Computer Science, Analytics, Biostatistics, Applied Mathematics, Software Engineering or related field or equivalent relevant work experience.
• At least 3 years of Data mining, quantitative analysis, and/or statistical modeling including predictive performance and algorithm optimization work experience
• At least 3 years of Statistical programming and applied programming work experience.

Preferred Qualifications

• At least 3 years of Machine learning methods and the principles of visually encoding data work experience.

• Work or research experience in the practical application of statistical learning algorithms across regression, classification, supervised modeling techniques, and unsupervised problems, to include more modern machine learning, linear, and non-linear techniques (trees, neural networks and extensions into deep learning, etc.)
• Demonstrated programming skill in at least one language like R, Python, Scala, Java, C#, etc. using available statistical and machine learning
• Experience in working on or with engineering teams and tools including scalable cloud-based data science environments such as OpenStack, Azure, or AWS
• Experience rapidly prototyping, evaluating, and gathering feedback to iterate toward an acceptable business outcome
• Experience with enterprise search, artificial intelligence, natural language, or similar that heavily leverages entity extraction, determining intents, content classification etc. from unstructured text
• Work or research experience with modern compute and storage approaches such as Spark or Hadoop in cloud brokered environments like Azure, AWS, etc. or on-premise configurations
• Experience obtaining data from any manner of source: databases (SQL and NoSQL/document such as MongoDB, Couchbase, Cassandra, etc.), APIs, scraping, etc.

Expectations

• Willing to work additional or irregular hours as needed and allowed by local regulations
• Work in accordance with corporate and organization security policies and procedures, understand personal role in safeguarding corporate and client assets, and take appropriate action to prevent and report any compromises of security within scope of position
• Although travel not anticipated, must be willing to travel up to 20% as needed
• Perform other responsibilities as assigned

Additional Information

Applicants for U.S. based positions with Cerner Corporation must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Some Cerner positions may be obligated to comply with client-facing requirements and occupational health requests, including but not limited to, an immunization set, an annual flu shot, an annual TB screen, an updated background check, and/or an updated drug screen.

Relocation Assistance Available for this Job:

Yes – Domestic/Regional

Virtual Eligible Job

No

Cerner is a place where people are encouraged to innovate with confidence and focus on what is important – people’s health and the care they receive. We are transforming health care by developing tools and technologies that make it more efficient for care providers and patients to navigate the complexity of our health. From single offices to entire countries, Cerner solutions are licensed at more than 25,000 facilities in over 35 countries.

Cerner’s policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Cerner is proud to be a drug-free workplace.