Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves developing and deploying predictive and deterministic models to forecast product shrink and damages, automating analytics workflows, and providing actionable insights to business partners in a retail environment.

Key Responsibilities

Develop scalable models
Automate analytics workflows
Conduct root cause analysis
Present insights to stakeholders
Collaborate with business partners

Technical Overview

The technical environment includes SQL, Python, PowerBI, and advanced analytics techniques such as time-series forecasting and root cause analysis, with a focus on scalable, automated models.

Ideal Candidate

The ideal candidate is a mid-level data scientist with experience in predictive modeling, data analysis, and analytics automation, proficient in SQL and Python, with strong problem-solving skills and the ability to communicate insights effectively.

Must-Have Skills

SQLPythonPredictive modelsData analysisAd hoc analysis

Nice-to-Have Skills

PowerPointPowerBITime-series forecastingGeospatial analysisModel automation

Tools & Platforms

SQLPythonPowerPointPowerBI

Required Skills

SQLPythonpredictive modelingdata analysisad hoc analysisPowerPointPowerBIroot cause analysisforecastingdeterministic models

Hard Skills

SQLPythonPredictive ModelingTime-Series ForecastingModel DevelopmentData AnalysisPowerPointPowerBIDeterministic ModelsAnalytics Automation

Soft Skills

Problem-solvingBusiness JudgmentQuantitative AnalysisCollaborationCommunication

Industry & Role

Industry Retail / Consumer Goods

Job Function Data science and analytics modeling for retail shrink and damages forecasting

Role Subtype Data Scientist

Tech Domains Python, SQL, Power BI

Keywords for Your Resume

Data ScientistSQLPythonPredictive modelingTime-series forecastingPowerPointPowerBIAnalytics automationad hoc analysisRoot cause analysisForecastingDeterministic modelsRetail analyticsDecision scienceBusiness analysisdata scientistsqlpythonpredictive modelsanalyticspowerbiroot cause analysisforecastingretail analytics

Deal Breakers

Lack of experience in predictive modeling, No proficiency in SQL or Python, No experience with retail analytics, Unwillingness to collaborate with cross-functional teams

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