Description
WHAT YOU’LL DO
- Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.
- Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products
- Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning
- Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
- Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
- Understands, organizes, and communicates succinctly. Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
- Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
- Demonstrated competency in R/Python predictive modeling
- Are you interested in this position?
Apply by clicking on the “Apply Now” Button below!
#JobsHubEstonia #GlobalRecrument
#CareerOpportunities #HiringNow
#JobSeekersNetwork #EstoniaJobs
#RecruitmentServices #EmploymentPortal
Related Jobs
Description About the role You’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product...
Remote
Description you’ll do day-to-day: Strategic Leadership: Shape the analytical strategy for Growth product initiatives. Identify high-leverage opportunities, set long-term measurement and experimentation direction, and align executive stakeholders around data-driven priorities. Execution Excellence: Drive and execute on org-level...
Remote
Description What You’ll Do: Drive insights and decisions through strategic analysis, reporting, and predictive modeling. Design a metrics framework that connects our revenue infrastructure to financial outcomes, surfacing gaps in our data and reporting. Define...
Remote
×