About the job
Job Title: Senior Data Scientist
Location: Abu Dhabi
Role Overview: As a Senior Data Scientist at, you will play a pivotal role in advancing our analytical capabilities and influencing our strategic decisions. You will be responsible for distilling vast amounts of data into actionable insights, crafting predictive models, and collaborating cross-functionally to deliver data-centric solutions aligned with company objectives.
Key Responsibilities:
Data Analysis: Utilize advanced analytical techniques to deconstruct and interpret complex data sets, delivering clear and actionable insights from diverse data sources.
Predictive Modeling: Craft and refine predictive models and advanced algorithms to anticipate market trends, customer behavior, and other business-critical outcomes.
Experimental Design and Hypothesis Testing: Develop robust scientific methods to test hypotheses, including A/B testing and multivariate analysis, to validate models and approaches.
Strategic Data Visualization: Create intuitive and compelling data visualizations and interactive dashboards that resonate with both technical and non-technical stakeholders.
Feature Engineering: Identify and engineer sophisticated features to enhance model performance and predictive reliability.
Model Building and Evaluation: Implement rigorous validation processes to gauge model effectiveness, refining overall performance while addressing factors like overfitting and underprediction.
Cross-functional Collaboration: Partner with stakeholders across the business to understand operational challenges and deliver data-centric solutions aligned with company objectives.
Data Source Exploration: Proactively explore and assimilate new data sources to stay ahead of market trends and fuel innovation.
Comprehensive Documentation: Maintain meticulous documentation of methodologies, data lineage, model development, and analytical findings to ensure transparency and reproducibility.
Continuous Learning: Stay abreast of emerging technologies, methodologies, and industry best practices to remain at the forefront of data science.
Qualifications:
Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or related field.
Proficiency in programming languages such as Python or R, as well as experience with data manipulation, statistical analysis, and machine learning techniques.
Strong communication and collaboration skills, with the ability to convey complex data concepts to stakeholders with varying degrees of technical knowledge.
Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn is preferred.
Demonstrated ability to work independently and as part of a cross-functional team in a fast-paced and dynamic environment.
Seniority Level: Executive-Level
Job Functions: Software Development
Industries : Information Technology
