Qureos Mentor

soum

<div><div><b>Marketing Intern &ndash; Social Media &amp; Content</b></div><div></div><div><b><br>
About the Role</b></div><div>
We are looking for a Marketing Intern to join Soum&rsquo;s marketing team. You will support in managing social media platforms, creating engaging content, and helping with different marketing tasks.</div><div></div><div><b><br>
Responsibilities</b></div><ul><li>Assist in managing social media accounts (TikTok, Instagram, Twitter/X, Snapchat, YouTube).</li><li>Draft and schedule posts across platforms.</li><li>Support in preparing content for different marketing sections (social media, emails, in-app, WhatsApp, banners).</li><li>Help track and report content performance.</li><li>Research digital trends and competitor activities for inspiration.</li></ul><div></div><div><b><br>
Requirements</b></div><ul><li>Current student in <b>Marketing, Media, Public Relations, or a related field</b></li><li>Interest in social media platforms and content creation</li><li>Ability to follow digital trends and suggest creative ideas</li></ul></div>

Marketing Intern – Social Media & Content

<div><div><b>Role: Senior Data Scientist</b></div><div><b>
Location:</b> Egypt, Uzbekistan, and Pakistan (Remote)</div><div><b>
Work Week:</b> Sunday &ndash; Thursday</div><div><b>
Work Timings:</b> 9:00 AM &ndash; 6:00 PM (Saudi Arabian Time Zone)</div><div></div><div><b><br>
Overview:</b></div><div>
We&rsquo;re looking for a <b>Senior Data Scientist</b> to lead the development and deployment of advanced machine learning models that power critical business decisions. In this role, you&rsquo;ll drive end-to-end ownership of ML solutions, from design and optimization to deployment and monitoring in production environments. You&rsquo;ll also play a key role in shaping our data science strategy, mentoring junior team members, and ensuring that analytics insights translate into measurable business impact. This is a high-visibility role where your expertise will directly influence product innovation and growth.</div><br>
<div></div>
<h3 class="jobSectionHeader"><b>
Role &amp; Responsibilities:</b></h3><ul><li><b>
Model Development and Optimization:</b></li><li>
Lead the design, development, and deployment of advanced ML models for complex use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting.</li><li>
Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs.</li><li>
Continuously optimize algorithms for performance, accuracy, and efficiency.</li><li><b>
Deployment and Integration:</b></li><li>
Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP).</li><li>
Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines.</li><li>
Champion automation of model training, validation, and deployment workflows to improve system reliability.</li><li><b>
Analytics Strategy &amp; Enablement:</b></li><li>
Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling.</li><li>
Translate complex data insights into business impact, clearly communicating ROI to stakeholders.</li><li>
Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders.</li><li><b>
Leadership &amp; Collaboration:</b></li><li>
Mentor junior data scientists and analysts, providing technical guidance and career development support.</li><li>
Collaborate closely with engineering and product leadership to shape the company&rsquo;s data science strategy.</li><li>
Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Proficiency in <b>Python</b> and <b>SQL</b>, with hands-on expertise in ML frameworks such as <b>TensorFlow, PyTorch, Scikit-learn</b>.</li><li>
Strong knowledge of <b>deployment tools</b> (Docker, Kubernetes, cloud platforms) and <b>MLOps best practices</b>.</li><li>
Proven ability to design and maintain production-grade ML systems.</li><li>
Deep understanding of <b>statistical analysis, hypothesis testing, and data visualization</b>.</li><li>
Knowledge of <b>cloud-serverless technologies</b> (AWS Lambda, GCP Functions, Azure Functions).</li><li>
Strong familiarity with <b>GCP</b> is a plus.</li><li>
Prior experience deploying ML solutions in <b>E-commerce or high-growth environments</b> is highly desirable.</li><li>
Familiarity to work with Git and GitHub.</li><li><b>
Dataform is a must</b></li></ul><h3 class="jobSectionHeader"><b>
Experience:</b></h3><ul><li><b>
5+ years</b> in data science, including hands-on ML model development and deployment.</li><li><b>
3+ years</b> in data analytics, statistical modeling, and experimentation.</li><li>
Experience mentoring or leading junior data scientists.</li><li>
Exposure to fast-scaling startup or tech environments is a strong plus</li></ul></div>

Senior Data Scientist

<div><div><b>Role: Data Engineer</b></div><div><b>
Location:</b> Egypt, Uzbekistan, and Pakistan (Remote)</div><div><b>
Work Week:</b> Sunday &ndash; Thursday</div><div><b>
Work Timings:</b> 9:00 AM &ndash; 6:00 PM (Saudi Arabian Time Zone)</div><div></div><div><b><br>
Overview:</b></div><div>
We&rsquo;re seeking a <b>Data Engineer</b> to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You&rsquo;ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you&rsquo;ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.</div>
<h3 class="jobSectionHeader"><b>Role &amp; Responsibilities:</b></h3><ul><li><b>
Data Pipeline Development &amp; Optimization:</b></li><li>
Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting.</li><li>
Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use.</li><li>
Implement data quality checks, monitoring, and validation processes.</li><li><b>
Data Architecture &amp; Integration:</b></li><li>
Work with cross-functional teams to design efficient ETL/ELT workflows using modern data tools.</li><li>
Integrate data from multiple sources (databases, APIs, third-party tools) into centralized storage solutions (data lakes/warehouses).</li><li>
Support cloud-based infrastructure for data storage and retrieval.</li><li><b>
Performance &amp; Scalability:</b></li><li>
Monitor, troubleshoot, and optimize existing data pipelines to handle large-scale, real-time data flows.</li><li>
Implement best practices for query optimization and cost-efficient data storage.</li><li>
Ensure data is available and accessible for business-critical operations.</li><li><b>
Collaboration &amp; Documentation:</b></li><li>
Partner with product, engineering, and business stakeholders to understand data requirements.</li><li>
Document data workflows, schemas, and best practices.</li><li>
Support a culture of data reliability, governance, and security.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Proficiency in <b>Python</b> and <b>SQL</b> for data engineering tasks.</li><li>
Strong understanding of <b>ETL/ELT processes</b>, data warehousing, and data modeling.</li><li>
Hands-on experience with <b>cloud platforms</b> (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).</li><li>
Familiarity with <b>data orchestration tools</b> Airflow, Airbyte <b>is a must.</b></li><li>
Experience with <b>containerization &amp; deployment tools</b> (Docker, Kubernetes) is a plus.</li><li>
Knowledge of <b>data governance, security, and best practices</b> for handling sensitive data.</li><li>
Familiarity to work with Git and GitHub.</li><li><b>
Dataform is a must</b></li><li>
Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.</li></ul><h3 class="jobSectionHeader"><b>
Experience:</b></h3><ul><li><b>
2+ years in data engineering</b>, building and maintaining data pipelines.</li><li><b>
2+ years in SQL and Python development</b> for production environments.</li><li>
Experience working in <b>fast-growing startup environments</b> is a plus.</li><li>
Exposure to <b>real-time data processing frameworks</b> (Kafka, Spark, Flink) is a plus.</li></ul></div>

Data Engineer

Join soum and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

soum

ABOUT_COMPANY

Marketing Intern – Social Media & Content

Senior Data Scientist

Data Engineer