DATA ANALYST

Description

Job Summary: Senior Data Scientist to develop analytical models and data-driven geospatial solutions to support strategic decision-making in the retail sector. Key Highlights: 1. Develop predictive models for store opening, closing, and performance. 2. Design optimization algorithms incorporating geospatial variables. 3. Collaborate with Real Estate, expansion, commercial, and supply chain teams. Position: Senior Data Scientist (Specialized in Real Estate) Location: (CDMX and Sinaloa) Salary: $53,900 – $67,000 monthly; benefits exceeding statutory requirements Work Schedule: Monday to Friday Job Objective Develop analytical models and data-driven geospatial solutions to support strategic decisions regarding retail physical store expansion, location selection, and performance. Key Responsibilities Build predictive models for store opening, closing, and performance. Design optimization algorithms incorporating geospatial variables (mobility, trade areas, consumer behavior). Analyze local demand to define product mix and inventory levels. Evaluate store performance using multivariate analysis (location, competition, socioeconomic profile, seasonality). Develop simulations and scenarios for new store locations. Collaborate with Real Estate, expansion, commercial, and supply chain teams. Communicate insights through dashboards and clear visualizations. Stay current with trends in geointelligence and retail analytics. Requirements Bachelor’s degree in Mathematics, Actuarial Science, Statistics, Engineering, Geography, or related field. \+5 years of applied data science experience in retail, real estate, or expansion. Experience with location modeling, simulation, and geospatial analysis. Intermediate\-Advanced English proficiency. Technical Skills Python (mandatory) and advanced SQL. Libraries: pandas, geopandas, scikit\-learn, PySAL, folium. GIS Tools: QGIS, ArcGIS, Google Maps API, or similar. Visualization: Power BI, Tableau, or libraries such as Plotly/Seaborn. Proficiency in handling demographic, census, and mobility data. Employment Type: Full-time Salary: $45,000\.00 \- $60,000\.00 per month Benefits: * Major medical expense insurance * Life insurance Work Location: On-site employment