Jobs for Humanity Data Scientist \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Scientist Full-time Company: 92321ssss2l Compensation: SAR0 \- SAR20,000 \- monthly Company Description Kanz is partnering with 92321ssss2l to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: 92321ssss2l Job Description We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will leverage advanced statistical and machine learning techniques to transform complex data into actionable insights that drive business strategy and decision-making. The ideal candidate will possess a strong foundation in mathematics, programming expertise, and the ability to communicate technical findings effectively to diverse stakeholders. Job Purpose To extract meaningful insights and actionable intelligence from complex, often unstructured data to solve business problems, drive strategic decisions, and create predictive models that enhance organizational performance and competitive advantage. Job Duties and Responsibilities Statistical Analysis Machine Learning Predictive Modeling Data Analysis Data Wrangling Data Visualization Python Programming R Programming Mathematics Communication Qualifications Required Qualifications Statistical Analysis Machine Learning Python Programming R Programming Data Wrangling Data Visualization Mathematics Communication Predictive Modeling Data Analysis I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Scientist Riyadh, Saudi Arabia Full-time I'm interested I'm interested

The required qualifications include expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in Python programming, R programming, data wrangling, and data visualization is necessary. A strong foundation in mathematics and effective communication skills are also essential for this role.