Remotely
pythonsqlforecastingstatisticscausal inferencedataoptimizationexperimentationdashboards
Job Description
📋 Description
- Own ambiguous, high-impact problems end to end—from framing and prioritization through delivery
- Define success metrics and build measurement, forecasting, experimentation, and optimization
- Develop and own agentic dashboards, reporting, models, and decision tools, ensuring they are
- Connect data from workplace sensors, collaboration tools, operations, and financial systems—while
- Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and
🎯 Requirements
- Ability to thrive in ambiguity, take ownership, and balance rigor with speed.
- Familiarity with AI-assisted analytics, collaboration technologies, and operational platforms.
- Experience in Data Science or Decision Science, ideally in operational, financial, workplace, or
- Strong grounding in applied statistics, causal inference, forecasting, and model evaluation; fluent
- Proven ability to turn messy, broad datasets into high-impact decisions and measurable outcomes.
- Enthusiasm for pioneering AI-native analytics and working with agentic dashboards and decision
🎁 Benefits
- Nice to Have: Experience building operational automation or decision systems for prioritization
- Nice to Have: Experience analyzing human behavioral or organizational-network data from workplace
- Nice to Have: Experience creating analytical, measurement, or governance frameworks in
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