Data Scientist
Jobs for Humanity Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Jobs for Humanity. Riyadh · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Dig through complex datasets and produce findings that help teams make informed decisions
- Use statistical methods to explain data patterns and spot emerging trends
- Develop forecasts by applying machine learning methods to relevant data
- Work with Python or R to prepare datasets, analyze them, and present results visually
What you bring
- You can use statistical methods to explain data and find trends
- You have machine learning skills for developing predictive models
- You can use Python or R for data preparation and analysis, and create visual explanations
Who this fits
This role suits a mid-level data scientist who can turn analysis into useful decisions. The position is based onsite in Riyadh.
From the employer
Company Name: Vvg
We are seeking a talented and analytical Data Scientist to join our dynamic team. In this role, you will work at the intersection of data, technology, and business strategy, turning raw data into powerful insights that drive key organizational decisions. If you are passionate about uncovering patterns, building predictive models, and communicating complex findings in a clear and impactful way, this is the opportunity for you.
Job PurposeThe primary purpose of this role is to extract actionable insights from complex datasets to support data-driven decision-making across the organization. You will apply statistical analysis, machine learning techniques, and programming expertise to interpret data, identify trends, and build predictive models that inform strategic initiatives and operational improvements.
Job Duties and Responsibilities- Extract actionable insights from complex datasets to support data-driven decision-making
- Apply statistical analysis to interpret data and identify trends
- Utilize machine learning techniques to build predictive models
- Leverage programming skills (e.g., Python or R) for data manipulation and analysis
- Create data visualizations to communicate findings effectively
- Statistical Analysis
- Machine Learning
- Python
- R
- Data Visualization
- Data-Driven Decision Making
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