Data Scientist - ML, Analytics & Dashboards (On-Site)

SOSi; El Paso (TX); On-site; USD 60,049 - 124,717; Full time

Job summary

SOSi in El Paso, TX is seeking a Data Scientist to apply statistical analysis, ML, and data visualization to drive data-driven decision making. You will partner with product, engineering, and business teams to extract actionable insights from complex datasets.

You will build predictive models, run A/B tests, and develop dashboards to monitor key metrics. The role requires on-site work with shifting hours in a 24/7 environment and the ability to work under deadlines.

Qualifications

• Bachelor's or Master’s in CS/Statistics/Math/Data Science.
• 2+ years in data science or analytics.
• Proficiency in Python or R.
• SQL with relational databases.
• Strong statistics, ML, and data modeling.
• Ability to present data clearly to stakeholders.
• Experience with Tableau, Power BI, matplotlib or 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.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• 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.

Skills

Python

SQL

Statistics

Data visualization

Communication

Education

Bachelor's/Master's in CS/Statistics/Math/Data Science

Tools

Tableau

Power BI

matplotlib

Seaborn

Job description

SOSi in El Paso, TX is seeking a Data Scientist to apply statistical analysis, ML, and data visualization to drive data-driven decision making. You will partner with product, engineering, and business teams to extract actionable insights from complex datasets.

You will build predictive models, run A/B tests, and develop dashboards to monitor key metrics. The role requires on-site work with shifting hours in a 24/7 environment and the ability to work under deadlines.