Senior Data Scientist at CodeNinja

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Stakeholder Management, Business Communication, Cross-Functional Collaboration, Change Management, User Adoption, KPI Definition, ROI Measurement, AI Concepts, Machine Learning, Python, SQL, MLOps, Cloud Platforms, Data Engineering, Solution Architecture, Problem Solving, Project Management

Industry

Software Development

Description

About the Company CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy. About the role We are seeking a Senior Data Scientist drive AI adoption, delivery, and value realization across business functions. This role sits at the intersection of business strategy, AI technology, governance, and change management, requiring both strong stakeholder engagement and hands-on technical understanding. The ideal candidate will translate complex AI concepts into business outcomes, define AI use cases, prioritize roadmaps, and ensure responsible, scalable, and compliant AI implementation. Key Responsibilities Engage with business and technical stakeholders to define and drive AI initiatives aligned with organizational goals. Translate complex AI and GenAI concepts into clear, business-friendly language for leadership and end users. Define AI use cases, prioritize roadmaps, and align initiatives with measurable business value. Lead change management, user adoption, training, enablement sessions, and workshops for AI solutions. Define KPIs, measure ROI, and track performance of AI solutions post-implementation. Manage AI programs and projects, including planning, execution, risk management, and issue escalation. Ensure adherence to AI governance, ethics, compliance, and risk management frameworks. Collaborate cross-functionally to resolve issues and continuously improve AI delivery outcomes. Requirements Strong experience in stakeholder management, business communication, and cross-functional collaboration. Proven ability to drive change management and user adoption for technology initiatives. Experience defining KPIs, measuring ROI, and tracking performance for AI or digital solutions. Strong understanding of AI/ML and GenAI concepts, including LLMs, RAG, and prompt engineering. Hands-on experience with Python, SQL, and machine learning frameworks. Experience with MLOps, cloud platforms, and model lifecycle management. Knowledge of data engineering fundamentals, data pipelines, and analytics workflows. Understanding of solution architecture, APIs, microservices, and system integrations. Strong problem-solving, project management, and program management capabilities. Why Join Us Lead high-impact AI and GenAI initiatives that directly influence business outcomes. Work at the intersection of strategy, technology, and transformation. Collaborate with global teams across AI, engineering, and business domains. Gain exposure to cutting-edge AI platforms, governance models, and enterprise-scale deployments. Grow into senior leadership roles in AI strategy, transformation, or delivery. Disclaimer CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Responsibilities

The Senior Data Scientist will engage with stakeholders to define and drive AI initiatives aligned with organizational goals. They will also lead change management and ensure responsible AI implementation.