Data Scientist: Predictive Modeling & Business Impact

Gathern | جاذر إن; Riyadh; On-site; SAR 240,000 - 360,000; Full time

Job summary

Gathern | جاذر إن is seeking a Data Scientist to drive data-driven decision-making by building analytical models and translating complex datasets into measurable business impact aligned with company strategy.

You will develop predictive models, perform data cleaning and feature engineering, and create dashboards for stakeholders. The role requires 4-6 years in data science, experience deploying ML models, and collaboration with cross-functional teams.

Qualifications

• Bachelor's degree in a data-related field or equivalent.
• 4-6 years in data science or advanced analytics roles.
• Experience building and deploying machine learning models.
• Experience working with large structured and unstructured datasets.

Responsibilities

• Develop predictive and statistical models to support business objectives.
• Perform data cleaning, transformation, and feature engineering.
• Translate business problems into analytical frameworks.
• Build dashboards and data visualizations for stakeholders.
• Conduct exploratory data analysis (EDA) to uncover trends and insights.
• Collaborate with Product, Marketing, and Engineering teams; monitor model performance.

Skills

Data Modeling & Statistical Analysis

Machine Learning & Predictive Modeling

Data Wrangling & Feature Engineering

Data Visualization & Storytelling

Experimentation & A/B Testing

Model Deployment & Monitoring

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field

Tools

Python

R

SQL

Job description

Gathern | جاذر إن is seeking a Data Scientist to drive data-driven decision-making by building analytical models and translating complex datasets into measurable business impact aligned with company strategy.

You will develop predictive models, perform data cleaning and feature engineering, and create dashboards for stakeholders. The role requires 4-6 years in data science, experience deploying ML models, and collaboration with cross-functional teams.