Tasks:
- * Address ad hoc analytical requests
- * Advise on data collection and tracking requirements
- * Analyze large geospatial datasets
- * Apply machine learning algorithms to business problems
- * Collect, clean, and preprocess data
- * Conduct code reviews
- * Create and execute test and measurement plans
- * Develop and validate predictive models
- * Develop machine learning components for store development mapping
- * Document analytical methods and results
- * Extract and transform data from multiple sources
- * Generate reports and data visualizations
- * Maintain data pipelines and analytical tools
- * Monitor model performance
- * Troubleshoot data quality issues
Perks/Benefits:
- + 401k matching
- + Adoption Assistance
- + Childcare tuition discounts
- + Dental insurance
- + Fertility benefits
- + Fitness and wellness programs
- + Medical insurance
- + Mental health support
- + Paid holidays and vacation
- + Vision insurance
Skills/Tech stack required:
[ArcGIS] [Arcpy] [Artificial Intelligence] [Automated testing] [Data Analysis] [Data Pipelines] [Data Preprocessing] [Data Quality] [Data Quality Management] [Data Types] [Data Visualization] [Exploratory Data Analysis] [FastAPI] [Geopandas] [Geospatial Data] [Geospatial Data Analysis] [Geospatial data types] [Geospatial SQL] [Git] [Jupyter Notebook] [Machine Learning] [Matplotlib] [Optimization Algorithms] [Pandas] [Performance optimization] [Power BI] [Predictive Modeling] [Python] [Quality management] [Seaborn] [SQL] [Statistical modeling] [Supervised Learning] [Tableau] [Unsupervised Learning]
Educational requirements:
N/A
Role(s):
[Data Scientist] [Scientist]