Value Realization Lead (Data Scientist)

UrbaCon Contracting & Trading Company; Qatar; On-site; QAR 400,000 - 600,000; Full time

Job summary

A prominent construction firm in Qatar is seeking a Value Realization Lead to leverage advanced analytics and machine learning for data-driven decision-making. This role involves analyzing complex datasets, developing predictive models, and collaborating across teams to optimize business processes. Candidates should have a Bachelor's degree in IT, 8 years of experience, and strong ERP knowledge, preferably in SAP. Competitive package offered.

Qualifications

• Minimum 8 years working experience, 5 years in a supervisory position.
• 2 years GCC experience is a plus.

Responsibilities

• Execute analytical experiments to solve problems.
• Identify data sources for client needs.
• Devise algorithms and models for big data analysis.
• Implement analytical models into production.
• Communicate analytic solutions to stakeholders.

Skills

Interpreting data

Analyzing trends

Enterprise data architecture

Risk analysis

Process improvement

System engineering

Web application design techniques

ERP knowledge

Education

Bachelor's Degree in Information Technology or related field

Job description

Job Summary

The Value Realization Lead is responsible to leverage advanced analytics, machine learning, and statistical techniques to extract insights from data and drive data-driven decision-making within the organization. They are responsible for analyzing large and complex datasets to identify patterns, trends, and correlations that can inform business strategies and initiatives. Additionally, they develop predictive models and algorithms to forecast future outcomes and optimize business processes. The Data Scientist collaborates with cross-functional teams, including IT, business intelligence, and data engineering, to understand business requirements and develop solutions that address business challenges. They also play a key role in data governance and data quality initiatives to ensure the accuracy and reliability of data used for analysis.

Job Responsibilities

• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns and interpret data with a clear objective in mind.
• Implement analytical models into production by collaborating with software developers and machine learning engineers.
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Act as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and working closely with the engineering team to strategize and execute the development of data products.
• Mine and analyze data from company databases to drive optimization and improvement of business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Job Knowledge & Skills

• Knowledge in interpreting data, analyzing trends to make better decisions.
• Knowledge of enterprise data architecture.
• Knowledge of risk analysis, process improvement and system engineering.
• Knowledge of techniques used in the design of web applications.
• ERP knowledge, preferably SAP functional skills, is a requirement to be successful in this role.

Job Experience

Minimum 8 years working experience, 5 years in a relevant supervisory position, 2 years GCC experience is a plus.

Competencies

• Resilience
• Quality
• Leadership
• IT Communication Management L3
• Digital Integration L3
• IT Standards and Procedures L3
• Build High-Performing Teams
• Data Visualization Skill L3
• Provide Direction
• Agility
• Data Analysis L3

Education

Bachelor's Degree in Information Technology or any related field.