Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar
Codvo.ai Doha, Qatar
IT System Custom Software Development · 201-500 employees
About the role
The Data Science Consultant acts as a strategic link between business challenges and advanced analytics to optimize safety and performance. Responsibilities include developing machine learning models, conducting exploratory data analysis, and collaborating with cross-functional teams to deploy scalable solutions.
What they look for
Requirements
Candidates must have at least 6 years of experience in data science or analytics roles with strong proficiency in Python, SQL, and visualization tools. Experience in the oil and gas sector and familiarity with enterprise data platforms like Azure or Databricks are considered preferred qualifications.
Full description
Data Scientist Consultant (Category – Senior Engineer)
Sector: Oil and Gas
Department: Digital Transformation
Reporting To: Head of Digital Intelligence
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
Job Description
The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics. By applying machine learning and statistical rigor to complex business challenges, this role identifies key opportunities to optimize safety, efficiency, and overall performance.
Key Responsibilities
- Identify and support analytics and AI use cases aligned with business and conceptualization priorities.
- Engage stakeholders to gather requirements and translate business needs into analytical problem statements.
- Perform exploratory data analysis, statistical modelling, and predictive analytics on structured and unstructured datasets.
- Develop machine learning models and analytical solutions to support forecasting, optimization, and anomaly detection.
- Design dashboards and performance reporting frameworks to support decision-making.
- Conduct impact analysis, ROI estimation, and value tracking for analytics initiatives.
- Collaborate with data engineers and product teams to deploy scalable analytics solutions.
- Present insights and recommendations to both technical teams and business leadership.
Required Skills and Qualifications
- +6 years of experience in data science, analytics, or business intelligence roles under digital transformation projects.
- Strong proficiency in Python, SQL, and Power BI or similar visualization tools.
- Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).
- Strong analytical thinking and structured problem-solving skills.
- Experience in requirements gathering, stakeholder engagement, and business case development.
- Ability to communicate complex analytical findings in clear business terms.
Preferred Qualifications
- Experience in Oil & Gas, energy, or industrial analytics environments.
- Familiarity with enterprise data platforms such as Azure or Databricks.
- Knowledge of Agile delivery frameworks.
- Certification in Data Analytics, Business Analysis, or Data Science preferred.
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered
