Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar

Codvo Private Limited; Doha; On-site; QAR 291,226 - 364,033; Full time

Job summary

A technology firm in Doha is seeking an experienced Data Scientist Consultant to bridge business problem-solving and advanced analytics. You will apply your expertise in machine learning and statistical methodologies to optimize organizational performance. The ideal candidate will have over 6 years of experience, strong proficiency in Python, SQL, and visualization tools, along with a solid background in data analytics within digital transformation projects. This role offers the opportunity to influence decision-making through insightful data-driven recommendations.

Qualifications

• 6+ years of experience in data science, analytics, or business intelligence roles.
• Strong proficiency in Python, SQL, and visualization tools.
• Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch.

Responsibilities

• Identify and support analytics and AI use cases.
• Engage stakeholders to gather requirements.
• Perform exploratory data analysis and predictive analytics.
• Develop machine learning models and analytical solutions.
• Design dashboards to support decision-making.
• Conduct impact analysis for analytics initiatives.
• Collaborate with data engineers and product teams.
• Present insights to technical teams and business leadership.

Skills

Data science experience

Proficiency in Python

SQL skills

Power BI or similar tools

Experience with machine learning frameworks

Analytical thinking

Stakeholder engagement

Effective communication

Education

Certification in Data Analytics, Business Analysis, or Data Science

Tools

Scikit-learn

TensorFlow

PyTorch

Azure

Databricks

Job 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