Senior Data Scientist

Emdad By ElmRiyadh, Riyadh Region, Saudi Arabia

منذ يوم 1

الوصف الوظيفي

Overview

The Senior Data Scientist plays a pivotal role in the organization's data‑driven strategy by leading the development and implementation of advanced predictive models and algorithms tailored to support operational excellence. This senior‑level position requires a strategic thinker committed to ensuring that work aligns with approved policies and methodologies while advocating for continuous improvement initiatives to enhance system efficiency and productivity. The incumbent will conduct thorough exploratory data analyses and feature engineering to elevate model accuracy, while collaborating with cross‑functional teams to ensure compliance with regulatory standards governing data integrity and security. Additionally, the Senior Data Scientist will identify labor market trends and develop insightful analytics that predict future workforce needs, effectively translating complex findings into accessible reports, presentations, and visual illustrations for stakeholders. Establishing and maintaining stringent data quality standards, the role involves monitoring compliance, implementing preventive measures, and preparing detailed reports that foster knowledge transfer and organizational learning .

Job Requirements

A Bachelor’s degree in Data Science, Statistics, or a related field is mandatory.
A minimum of 8–10 years of relevant experience in Data Science or related disciplines, showcasing progressive responsibility in analytics roles.
Proven track record of developing and deploying predictive models and machine learning algorithms in a business context.
Demonstrated expertise in conducting exploratory data analysis (EDA) and feature engineering to enhance model performance and insights.
Strong knowledge of data governance frameworks, ensuring compliance with regulatory standards related to data integrity and security.
Experience in performing advanced analytics to derive actionable insights on labor market trends, workforce forecasting, and economic impacts.
Ability to distill complex data sets into clear and compelling presentations and reports tailored for diverse audiences.
Familiarity with statistical software tools and programming languages (e.g., Python, R, SQL) relevant to data manipulation and analysis.
Strong problem‑solving mindset and a continuous improvement orientation, with experience in establishing and monitoring data quality standards.
Excellent communication skills, both written and verbal, with the ability to mentor and transfer knowledge effectively to other team members .

Job Responsibilities

Lead the design, development, and implementation of predictive models and algorithms that align with organizational objectives.

Conduct comprehensive exploratory data analysis and complex feature engineering to maximize the performance of analytical models.

Ensure compliance with approved work policies and procedures while advocating for continuous improvement initiatives across data processes.

Oversee the maintenance of data integrity, quality, and security in accordance with regulatory requirements and company standards.

Review and act upon advanced analytics outputs, identifying emerging labor market trends and predicting future workforce demands.

Present analytical findings and recommendations through detailed reports and visualizations, effectively communicating insights to stakeholders.

Establish and enforce policies and procedures related to data quality standards and continuously monitor compliance with these standards.

Define actionable plans for data quality tasks and implement strategies for proactive improvements to mitigate potential data quality issues.

Prepare regular reports on data quality metrics for data providers, ensuring transparency and accountability in data management practices.

Facilitate knowledge transfer sessions to educate employees on approved work policies, procedures, and effective data practices.

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Senior Data Scientist • Riyadh, Riyadh Region, Saudi Arabia