Starways تعلن عن وظيفة عالم بيانات في الرياض

Company Description Starways is a Saudi technology partner specializing in complex government digital transformation initiatives. Since 2009, the company has delivered over 100 projects for more than 70 government clients, maintaining a 99% on-time delivery rate. Starways designs and operates government-grade platforms that comply with SDAIA, PDPL, NCA, and ISO frameworks, supporting critical public services from housing and inspection to trade licensing and citizen digital journeys. Its core capabilities span Digital Government Platforms, AI & Data, Cloud & DevOps, Enterprise Applications, RPA, and Technical Outsourcing. Starways is trusted by leading Saudi government entities, including the Ministry of Housing, NHC, ELM, Ministry of Energy, SASO, DGA, and many others.
Role Description This is a full-time, on-site Data Scientist role based in Riyadh, Saudi Arabia. The Data Scientist will work closely with cross-functional teams to design and implement data-driven solutions that support government platforms and digital services. Day-to-day responsibilities include collecting, cleaning, and modeling data; performing statistical and exploratory analyses; and building predictive and machine learning models to address complex business and policy questions. The role involves creating dashboards and visualizations to communicate insights to technical and non-technical stakeholders, as well as documenting methodologies and presenting findings in a clear, actionable manner. The Data Scientist will contribute to continuous improvement of data pipelines, collaborate on AI and analytics initiatives, and help ensure that solutions meet regulatory and compliance requirements.
Qualifications

• Candidates should possess strong skills in Data Science and Data Analytics for building models, deriving insights, and solving complex analytical problems.
• Candidates should possess practical experience in Data Analysis and Statistics for hypothesis testing, experimental design, and rigorous quantitative evaluation.
• Candidates should possess proficiency in Data Visualization for designing dashboards and reports that clearly communicate trends and performance indicators.
• Proficiency in programming languages such as Python or R, and experience with data tools (e.g., SQL, Pandas, NumPy, scikit-learn, or similar frameworks).
• Experience with machine learning techniques and model lifecycle, including feature engineering, evaluation, deployment, and monitoring.
• Familiarity with cloud platforms and data infrastructure (e.g., AWS, Azure, or GCP), and version control tools such as Git.
• Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly to diverse stakeholders.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field; experience in government or regulated industries is an advantage.