Jobs at DataScience Middle East

Analyze large structured and unstructured datasets to discover trends, build predictive and ensemble machine-learning models, automate data collection and preprocessing, create visualizations, and propose data-driven business solutions while collaborating with engineering and product teams.

Manage, maintain, and support SAS VIYA deployments across environments, handle customer support, troubleshoot issues, and create documentation.

The Presales Engineer will design software solutions, conduct technical presentations, and engage with customers to drive success, supporting sales teams in executing deals.

Seeking a UI/UX Designer to create engaging user interfaces, conduct user research, wireframe, prototype, and collaborate with teams to enhance user satisfaction.

Oversee software projects from conception to completion, manage teams, communicate with stakeholders, and ensure timely delivery while mitigating risks.

The Customer Intelligence Product Manager will define and execute product strategy for Customer Value Management and real-time engagement. Responsibilities include building AI-driven customer engagement ecosystems, managing omnichannel campaign orchestration, and developing real-time decisioning systems. The role involves collaboration with data scientists and business stakeholders to enhance customer experience and optimize marketing strategies.

The Senior BI Developer will lead a BI team in creating and delivering data-driven solutions, managing projects, and aligning initiatives with business goals.

Oversee IT infrastructure and technical operations, manage IT support activities, ensure system stability, and lead the IT team to optimize solutions.

The DevOps Engineer will design and implement systems, manage SAS environments, oversee cloud platforms, and ensure data security and system performance.

The Sales Account Manager will manage key client accounts, generate new leads, handle the sales cycle, and ensure customer satisfaction.

Design and run data-driven marketing and lead-generation programs across digital channels. Build and optimize lead funnels, manage marketing automation and CRM, align with sales, analyze performance (CPL, conversion, ROI), create content strategy, and identify growth opportunities to drive pipeline and revenue.

Lead design and delivery of scalable AI/ML solutions: architect and implement distributed, GPU-accelerated models, run end-to-end projects beyond POC, collaborate with stakeholders, present results, and support platform optimization across multiple concurrent projects.

The Data Engineer will design and maintain data pipelines, build data warehouses, and ensure data quality while collaborating with data scientists and engineers.

Prepare financial reports, analyses, projections, budgets, and tax returns. Maintain general ledger and bank reconciliations, manage month-end close, assist with audits, and recommend cost-reduction and revenue-enhancement measures using advanced accounting methods.

The role involves operationalizing AI models by building MLOps/LLMOps pipelines, automating deployment, monitoring model performance, and ensuring governance and compliance.

The Functional Consultant designs, develops, and maintains SAS-based solutions for combating money laundering, collaborating with teams to implement banking strategies.

The Sales Manager develops and executes sales strategies, manages client relationships, identifies business opportunities, and analyzes market trends to drive revenue growth.

The Solution Architect will design scalable data solutions and guide teams on best practices while collaborating with stakeholders to meet data requirements.

The Senior Employee Relations role involves counseling employees, conducting investigations, recommending disciplinary actions, developing policies, maintaining records, and overseeing benefits administration to ensure compliance with labor laws and organizational standards.