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23 Days AgoSaved
Remote
United States
88K-110K Annually
Senior level
88K-110K Annually
Senior level
Big Data • Marketing Tech
Serve as primary client contact and engagement lead for CPG and retail clients, managing projects and delivering insights from consumer panel and survey data. Drive platform utilization, prototype product enhancements, support sales as a subject matter expert, create thought leadership, and present data-driven recommendations. Requires strong project management, Excel and BI skills, CPG/retailer domain knowledge, and occasional travel.
Top Skills: 1010 Data8451Business ObjectsCatalinaChatgptCircanaCopilotDunnhumbyGeminiIbottaExcelNielsenPowerPointPythonSQLTableauWord
23 Days AgoSaved
In-Office
Chicago, IL, USA
200K-235K Annually
Senior level
200K-235K Annually
Senior level
Big Data • Marketing Tech
Lead and grow a data science team responsible for panel quality, representativeness, and measurement methodology. Advance statistical and ML methods, partner cross-functionally to productionize robust, explainable measurement systems, and communicate technical insights to internal and client audiences.
Top Skills: AIBayesian StatisticsCausal InferenceExperimental DesignHierarchical ModelingMachine LearningProbabilistic InferencePythonSQLState-Space Models
23 Days AgoSaved
Remote
United States
142K-195K Annually
Senior level
142K-195K Annually
Senior level
Big Data • Marketing Tech
Design, build, and productionize complex Bayesian and probabilistic modeling pipelines. Lead methodology and technical direction, collaborate with Product/Data/Engineering, mentor data scientists, communicate results to stakeholders, and apply hierarchical, state-space, time-series, and graphical modeling at scale with strong emphasis on uncertainty and model validation.
Top Skills: DynamaxGraphical ModelsHmcJaxMcmcNumpyroPymcPythonStanState-Space ModelsTime-Series ModelsVariational Inference
23 Days AgoSaved
In-Office
Chicago, IL, USA
88K-121K Annually
Junior
88K-121K Annually
Junior
Big Data • Marketing Tech
Lead the Data Extraction product roadmap and backlog for receipt processing. Prioritize initiatives, define OKRs/KPIs, collaborate with engineering, Deep Learning, Mobile Apps, Operations, and Data Science, and use SQL to investigate data issues and measure impact. Balance strategic planning with hands-on execution and cross-functional stakeholder communication.
Top Skills: AgileAi/MlDeep LearningMobile AppsScrumSQL
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