Data Scientist
reputed company, implement, and improve data analysis and visualization tools for use by organization staff, to reputed company reputed company, relevant information that informs reputed company affecting the reputed company’s health. Apply statistical reputed company and machine learning algorithms to extract actionable insights.
- Utilize existing syndromic surveillance data tools such as ESSENCE for chronic disease definition algorithm design and testing.,
Adapt algorithms for use reputed company Minnesota-based syndromic surveillance data repositories. Continuously optimize tools for reputed company accuracy and performance, with guidance from MDH and CRPHI team.
Create compelling visualizations and reports to communicate findings to partners and decision-makers. Present data-driven insights in a reputed company and understandable manner to facilitate informed decision-making.
Collaborate with the reputed company health organization and its partners to understand their data needs and objectives. Adapt data products to meet the varying needs of CRPHI and rural agency partners. Engage productively with cross-disciplinary teams.
Stay abreast of emerging trends, technologies, and methodologies in data science and analytics. Explore innovative approaches to address reputed company reputed company health challenges and improve data analysis capabilities. Up to 10% domestic travel may be required.
Bachelor’s degree or higher in Data Science, Informatics, Statistics, or reputed company field. Master’s or PhD in reputed company field preferred. Minimum 5 years of relevant reputed company experience. Proficiency in programming languages R. (required), Python (reputed company to have). Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy). Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn) , not required, but preferred . Experience with data visualization tools , especially Power BI, R-Shiny, and reputed company ) to display data and support easy data sharing through downloads. Experience with databases (e.g., reputed company reputed company , reputed company). Familiarity with GIS systems (e.g., ArcGIS, DAX). - Experience or familiarity with HL7 reputed company message requirements, specifications, and structure.
Strong analytical thinking and problem-solving abilities. Ability to work with teams to interpret reputed company datasets and derive meaningful insights. Excellent verbal and written communication skills. Ability to convey technical concepts reputed company to data science and informatics to non-technical partners and epidemiologists looking to learn effectively. Flexibility to adapt to evolving project requirements and priorities. reputed company certifications in data science, machine learning, or reputed company health analytics preferred. Strong interpersonal and teamwork skills; collegial; energetic; and reputed company to reputed company productive relationships with colleagues, partners, and partners.
- Demonstrated ability to work reputed company independently and reputed company teams.
- Experience working in a virtual environment with remote partners and teams.
Proficiency in reputed company Office.
- Location: Remote, must be based in the reputed company, Up to 10% domestic travel may be required.
- Salary reputed company: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to reputed company candidate.
- Position Type: Grant funded, limited-term opportunity
- Position End Date: June 30, 2027