At SCOPSIS, diversity and inclusion are key to our success. With a team comprising individuals from varied backgrounds, our diverse breadth of perspectives only enhances our approach to client service and innovation. We strive to foster a supportive, welcoming work environment for all.
SCOPSIS actively supports gender diversity in STEM, partnering with such organizations as the Women’s Empowerment Principles Secretariat (WEPs), the Women in Tech Hub (WIT-h), and the UN Global Compact Network Lebanon (UNGCL) to promote sustainable development goals (SDGs). We are committed to creating a balanced workforce that encourages women’s participation and equality.
As an equal opportunity employer, SCOPSIS enforces a strict non-discrimination protocol and is devoted to fair compensation through stringent equal pay policies. We are active participants in several initiatives promoting gender equality and women’s empowerment, and our team remains committed to fairness and inclusivity. Our hiring processes consider every qualified candidate fairly and without bias.
At SCOPSIS, our success thrives on the expertise and dedication of our team. Together, we’re committed to building trust through continued excellence at each step of the way. Read on to learn what our team members value most about their time at SCOPSIS. From professional growth to emotional fulfillment, these experiences highlight what makes our company stand out and why they’re proud to be a part of the team.
“As a Senior Marketing Coordinator at SCOPSIS, I feel my skills have grown enormously since I joined the company, and I now regularly lead my own projects. I really appreciate the team’s dedication to both intellectual and personal development.”
“I joined SCOPSIS because I appreciate the company’s values. Every day offers me the chance to learn something new in a warm and supportive environment.”
“Working at SCOPSIS as a Business Intelligence Intern was an incredible learning experience. I got hands-on experience using new data tools and significantly improved my data analysis skills. The team was extremely supportive, and I felt like I was genuinely contributing to projects.”
AI, Data, and Software — Redefining What's Possible
