Data Scientist _ Saudi National
Position: Data Scientist – Riyadh (Saudi National)
Industry: Global IT Consulting Firm – Data & AI Solutions
Role Overview:
This role focuses on supporting business intelligence initiatives through advanced data science methodologies and the use of cutting-edge tools. The position involves working closely with clients and internal teams to design, implement, and scale machine learning (ML) and deep learning models, as well as leverage the latest AI capabilities, including generative AI and ChatGPT-like platforms. Engagements span various sectors, providing data-driven solutions tailored to complex business challenges.
Main Functions & Responsibilities:
- Apply data science and analytics techniques to extract actionable insights for clients from complex, large-scale datasets.
- Develop, implement, and optimize machine learning and deep learning models that address business objectives.
- Design and automate robust data pipelines using Python and SQL Server to support BI dashboards and analytics solutions.
- Productionalize and scale ML models, ensuring their integration into enterprise systems and alignment with business needs.
- Build interactive data visualizations and dashboards using Tableau to present findings and enable data-driven decision-making.
- Engage in projects leveraging new generation AI tools, such as generative AI and language models, to elevate business value and efficiency.
- Support the end-to-end data science lifecycle, from problem definition and data preparation through modeling, validation, and deployment.
- Collaborate within multidisciplinary consulting teams and communicate technical findings effectively to both technical and non-technical stakeholders.
- Utilize ETL/ELT processes and frameworks as appropriate for managing and transforming data.
- Leverage platforms such as TensorFlow for deep learning assignments when required.
Scope:
- Consulting and project-based delivery for local and international clients in Riyadh.
- Participation in the full cycle of data & analytics solution development within a global consulting environment.
- Engagements requiring strong command of written and spoken English for effective communication.
- Exposure to diverse industries and extensive collaboration with cross-functional teams worldwide.
We are looking for candidates with more than 5 years of experience who are passionate about uncovering data-driven insights and eager to contribute to effective business decision-making. The ideal individual thrives on curiosity, demonstrates analytical thinking, and is motivated to continually learn and grow within the domain of business intelligence.
- Saudi National: Commitment to the growth and development of the local data science community, with a strong sense of national pride and ambition.
- Technical Aptitude: Proficiency in Python and SQL Server is essential, with the ability to develop, interpret, and optimize data processes. Experience with Tableau is highly valued, reflecting an interest in translating complex data into clear, actionable visualizations.
- Learning Mindset: Openness to acquiring new technical skills—including knowledge of ETL/ELT processes and TensorFlow—coupled with the enthusiasm to tackle new challenges in data analytics.
- Analytical Mindset: Natural curiosity and a systematic approach to problem-solving; a drive to validate hypotheses and deliver robust, data-backed recommendations.
- Communication: Strong command of English, enabling clear articulation of data concepts to diverse audiences, both technical and non-technical.
- Team Orientation: Collaborative spirit, eager to engage with cross-functional teams and contribute to collective objectives, balanced with the confidence to work independently.
- Integrity and Professionalism: High ethical standards and a commitment to accuracy, confidentiality, and continuous personal and professional development.
The right candidate will be results-oriented, proactive, and genuinely enthusiastic about building robust business intelligence capabilities in a dynamic and evolving environment.
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