Data Scientist

SOSi

El Paso (TX)

On-site

USD 60,049 - 124,717

Full time

14 days+

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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

  • Compensation: USD 60,049 - USD 124,717 - yearly
Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOSi is seeking a Data Scientist to join our team. In this role, you will leverage statistical analysis, machine learning, and data visualization techniques to extract actionable insights from complex data sets. You will work cross-functionally with product, engineering, and business teams to drive data‑driven decision making.

  • 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.
Qualifications
  • Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • 2+ years of experience in a data science, analytics, or related role.
  • 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.
  • Ability to clearly present complex data to stakeholders.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, Seaborn).
Additional Information
  • 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.
Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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