Sales Executive focused on selling Cloud Communication solutions to reinforce market development activities with Cloud Communication providers (CPaaS, UCaaS, conferencing and contact centers) in the US.
Locations (12)
New Jersey, United States
New York, United States
Florida, United States
Wisconsin, United States
North Carolina, United States
Kansas, United States
Show all 12 locations
Pennsylvania, United States
California, United States
Massachusetts, United States
Maryland, United States
Rhode Island, United States
Texas, United States
Responsibilities
Promote and sell BICS’ Cloud Communication solutions
Help prepare and provide commercial proposals
Provide pre-sales consultancy throughout the sales process
Develop BICS’ footprint in the Cloud Communication vertical and manage assigned customer portfolio
Manage day to day activities within assigned accounts and develop relationships at all levels
Individual contributor role focused on causal inference and marketplace measurement work impacting billions of dollars in transaction value on a large travel platform.
Locations (2)
Seattle, Washington, United States
Austin, Texas, United States
Compensation
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Build econometric models (panel data methods, DiD, RDD, IV) to help measure elasticity, changes in supplier behavior, and customer lifetime value
Support the development of long-term impact measurement approaches
Assist in designing and executing causal measurement frameworks for marketplace interventions, including geo experiments, difference-in-differences, synthetic controls, and instrumental variable approaches
Support causal inference and marketplace measurement work for Expedia Group's Economics and Experimentation Science team.
Locations (2)
Seattle, Washington, United States
Austin, Texas, United States
Compensation
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. The total cash range for this position in Austin is $119,000.00 to $166,500.00.
Responsibilities
Build econometric models (panel data methods, DiD, RDD, IV) to help measure elasticity, changes in supplier behavior, and customer lifetime value in the presence of endogeneity, simultaneity, and platform dynamics
Support the development of long-term impact measurement approaches, helping the team move beyond short-term experiment metrics toward quantifying sustained effects on customer retention, partner engagement, and marketplace equilibrium
Assist in designing and executing causal measurement frameworks for marketplace interventions, including geo experiments, difference-in-differences, synthetic controls, and instrumental variable approaches
Beheer en optimaliseer cliëntgebonden applicaties binnen de Jeugdzorg, met focus op Care4, Octopus, Medicheck en Multisignaal.
Locations (3)
Nijmegen, Gelderland, Netherlands
Venray, Limburg, Netherlands
Zetten, Limburg, Netherlands
Compensation
Inschaling zal zijn volgens de CAO GGZ FWG 55 minimaal € 4000,- en maximaal € 5294,- (o.b.v. 36 uur)
Responsibilities
Beheren en optimaliseren van cliëntgebonden applicaties
Ondersteunen van zorgprocessen via digitale systemen
Samenwerken met ICT-teams en afdelingen
Draag bij aan digitale initiatieven en procesoptimalisatie
Zorgdragen aan soepele werking van applicaties
Requirements
Partner with ML teams to help integrate causal inference into production systems, supporting ranking algorithms, pricing optimization, and recommendation engines
Translate econometric findings into clear, well-organized analysis and visualizations that support product decisions
Partner with ML teams to help integrate causal inference into production systems, supporting ranking algorithms, pricing optimization, and recommendation engines with econometrically validated insights
Translate econometric findings into clear, well-organized analysis and visualizations that support product decisions, and present results to stakeholders with clarity
Requirements
Master's degree in Economics, Applied Economics, Econometrics, Statistics, or a related quantitative field
Bachelor's degree with equivalent related professional experience
Nice to have: PhD in Economics, Applied Economics, Econometrics, Statistics
