The company in the Data and Technology Solutions industry is looking to solve business intelligence problems by designing and implementing advanced analytics solutions and automating data processes.
Requirements
Proficiency in Python and experience with machine learning frameworks such as scikit-learn, XGBoost, or PyTorch
Familiarity with SQL and statistical tools (e.g., R, SAS, MATLAB)
Experience analyzing complex datasets and developing predictive models
Understanding of statistical modeling, forecasting, and performance optimization for machine learning algorithms
Responsibilities
Design and implement advanced analytics solutions and automate data processes
Develop statistical, machine learning, and forecasting models for business intelligence
Build scalable data ecosystems and automate analytical workflows
Create intuitive data visualizations and interactive tools to communicate complex insights
Collaborate with Finance, Product, Operations, and Technology teams to deliver insights
Other
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
Ability to manage projects end-to-end and deliver impactful solutions in fast-paced environments
Flexible time off, including volunteer time off, vacation, sick days, and 12 paid holidays
