Utilize predictive modeling, segmentation, and machine learning methods to develop technical solutions to increase revenue and margins and provide thought leadership for advanced analytic projects and solutions
Work on projects from inception to delivery
Work with senior leaders and business partners (Technology, Clinical, Operations, etc.) to develop new predictive, forecasting, and natural language processing (NLP) models
Perform data mining by applying machine learning and supervised learning algorithms
Support advanced analytical and data mining efforts including clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis
Visualize, interpret, report, and communicate data findings in various formats using Tableau and ggplot
Hybrid work schedule and collaboration with cross-functional teams
Requirements
Bachelor’s degree or foreign equivalent in Data Science, Business Analytics, or a closely related field
3 years of IT experience
Experience with R
Experience with SQL
Experience with Python
Experience with PySpark
Experience with regression, decision trees, support vector machines, random forests, neural networks
Experience with Oracle, Teradata, SQL Server, Hadoop
Experience with Tableau and ggplot
Home internet via cable broadband or fiber optic with at least 10Mbps download/5Mbps upload
Benefits
Standard company benefits
Eligible to participate in an annual bonus plan
Medical, vision, and dental benefits starting on day one
Well-being and behavioral health programs
401(k) with company match
Company paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Hybrid work schedule
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.