Because It's Personal
Time: 2:57
Additional Information
| Working Environment | Hybrid & Onsite: No Relocation Assistance Offered |
|---|---|
| Relocation Assistance Available for this Job: | No |
Qualifications
Basic Qualifications- At least 8 years of total combined related work experience and completed higher education, including:
- At least 2 years Data analytics and/or statistics work experience, including experience in quantitative or statistical analysis, data mining, predictive or statistical modeling, applied programming, data management, data transformation, data visualization and/or quantitative or statistical research.
- At least 6 years of additional work experience directly related to the duties of the job and/or completed higher education, including:
- Bachelor’s degree in Actuarial Science, Analytics, Information Systems, Management Information Systems, Mathematics, Statistics or Economics or relevant work experience.
- At least 4 years of experience in Data Science and hands on programming experience in R/Python. Python is preferable.
- Experience in working with areas like Prediction (Regression and Classification), Text mining, Text Classification, Forecasting, and Clustering.
- Excellent knowledge on Microsoft Office suite.
- Experience in business reporting tools like Power BI, Kibana.
- Experience/Knowledge on Big Data.
- Experience/Knowledge on ELK Stack.
- Proficient in Data Analytics.
- Proficient in Statistical analysis.
All employees must be legally authorized to work in the country where the position is located. Work visa sponsorship is not available for this position.
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.
