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As a Data Scientist in Operations Research at Trouve Labs, you will develop mathematical models for optimization problems, particularly in operational areas like route planning and resource allocation. Your role includes data analysis, integrating solutions with cross-functional teams, and documenting methodologies. You will stay updated on industry trends and customize optimization models for business needs.

As a Full Stack Developer at Trouve Labs, you will design and implement GIS solutions for spatial data analysis, employ spatial analysis techniques, evaluate GIS algorithms, and collaborate with cross-functional teams. Your expertise will ensure the optimization of geographic processes and the customization of GIS models to meet unique business needs.

The Data Scientist will develop and refine mathematical models for optimization problems, utilizing Python for analysis and implementation. Responsibilities include analyzing data for patterns, customizing models for business needs, collaborating with teams, and documenting findings.

The Data Scientist in Operations Research will develop mathematical models for optimization problems, apply Python for algorithm implementation and data analysis, collaborate with cross-functional teams on operational challenges, and document methodologies and findings.

The GIS Developer will implement GIS solutions for spatial data analysis, route planning, and optimizing geographic processes. Responsibilities include customizing GIS models to fit business needs, collaborating with teams, and maintaining documentation while staying updated on GIS technology and industry practices.

The GIS Developer will implement GIS solutions for spatial data analysis and mapping, utilize advanced spatial analysis techniques, analyze spatial data for trends, and customize GIS models for business needs. This role involves collaborating with teams to integrate GIS solutions and maintaining documentation of methodologies and outcomes.

As a Product Trainee, you will assist the product team with user feedback analysis, product documentation, testing, and collaboration with design and engineering teams, while learning about product management fundamentals.