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Jobs for Humanity

Data Scientist

Jobs for Humanity

Published 23 Feb 2026
Riyadh, Saudi Arabia
Full Time

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Role Highlights

Languages used

Python
R

Key skills

Machine Learning
Data Science
Data Analysis
Problem Solving
Data Visualization
Statistical Analysis
DataSets
Statistics

Tools, Libraries and Frameworks

Description

Jobs for Humanity Data Scientist \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Scientist Full-time Company: hassan+210193\\_test Company Description Kanz is partnering with hassan+210193\\_test to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: hassan+210193\\_test Job Description We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will leverage advanced data science techniques to transform complex data into actionable insights that drive business growth and innovation. You will work with diverse datasets to uncover patterns, build predictive models, and provide strategic recommendations that directly impact our decision-making processes and competitive advantage in the market. Job Purpose The primary purpose of this Data Scientist role is to extract meaningful insights and actionable intelligence from complex, often unstructured data to solve critical business problems, drive strategic decisions, and create predictive models that forecast trends and outcomes. This position serves as a bridge between raw data and business strategy, ensuring that data-driven approaches inform organizational direction and operational improvements. Job Duties and Responsibilities Statistical Analysis Machine Learning Python Programming R Programming Data Wrangling Data Visualization Communication Skills Predictive Modeling Data Analysis Business Problem Solving Qualifications Required Qualifications Statistical Analysis Machine Learning Python Programming R Programming Data Wrangling Data Visualization Communication Skills Predictive Modeling Data Analysis Business Problem Solving I'm interested I'm interestedPrivacy Notice 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

Required Qualifications and Skills

The required qualifications include statistical analysis, machine learning, and Python programming. R programming, data wrangling, and data visualization are also necessary. Strong communication skills, predictive modeling, and data analysis are essential. The role requires business problem-solving abilities.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Jobs for Humanity

Size

42

Founded

HQ

New York, US

Public/Private

Nonprofit

Description

Jobs for Humanity collaborates with USD 437 to create an inclusive and just employment ecosystem, focusing on communities such as refugees, neurodivergent individuals, single parents, the visually impaired, the deaf or hard of hearing, racial minorities, military veterans, the elderly, LGBTQ individuals, and those impacted by the justice system. Talan Consulting, a part of the Talan Group, is a French multi-sector consultancy specializing in organization and management, boasting a human-scale team of 300 consultants based in Paris. They support leaders across various sectors in their business, managerial, cultural, and technological transformations, emphasizing agility, innovation, pragmatism, and social/environmental responsibility. The IA Data Excellence & Agility team within Talan Consulting aids clients in innovating and transforming through new technologies, ensuring societal and environmental commitments are met.

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