SOSi is looking to leverage statistical analysis, machine learning, and data visualization techniques to extract actionable insights from complex data sets and drive data-driven decision making.
Requirements
- Proficiency in Python or R for data analysis.
- Experience with SQL and working with relational databases.
- Strong foundation in statistics, machine learning, and data modeling.
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, Seaborn).
Responsibilities
- Analyze large, complex data sets to identify trends, patterns, and actionable insights.
- Build predictive models and machine learning algorithms to solve business problems.
- Design and implement A/B tests to evaluate the impact of changes and initiatives.
- Collaborate with data engineers to improve data collection, quality, and access
- Develop dashboards and visualizations to monitor key metrics and outcomes.
- Stay up-to-date with the latest data science techniques, tools, and best practices.
Other
- Communicate findings and recommendations clearly to technical and non-technical stakeholders.
- Ability to clearly present complex data to stakeholders.
- Work is on-site at the El Paso SOSi location
- Requires periods of non-traditional hours including consecutive nights or weekends when necessary
- Shift work is required as this is 24/ 7/ 365 days a year operational environment
- Must be able to work any assigned shift
- Ability to work efficiently under deadlines and pressure
- Ability to keep up in a fast-paced environment
