CareersData Science
Full-timeOn-site

Data Science

Location
Doha, Qatar
Department
Engineering

CODVO.AI | Engineering Department | Doha, Qatar


Role Overview

We are seeking a talented Data Science professional to join our Engineering team at CODVO.AI. In this role, you will design, develop, and deploy machine learning solutions that drive business impact for our clients. You'll work on complex data challenges, translating business requirements into scalable analytical models while collaborating with cross-functional teams in a dynamic, innovation-focused environment.


What You'll Do

  • Develop and deploy machine learning models using Python, R, or similar languages to solve real-world business problems across diverse domains
  • Conduct exploratory data analysis to identify patterns, anomalies, and insights that inform model development and business strategy
  • Design and implement data pipelines for data collection, cleaning, transformation, and feature engineering at scale
  • Evaluate model performance using appropriate metrics and validation techniques; optimize algorithms for accuracy, efficiency, and interpretability
  • Collaborate with stakeholders to understand business objectives, translate them into analytical requirements, and communicate findings through clear visualizations and reports
  • Document methodologies and code to ensure reproducibility, maintainability, and knowledge sharing across the team
  • Stay current with industry trends in machine learning, AI, and data science; recommend and implement emerging tools and techniques
  • Mentor junior team members and contribute to continuous improvement of data science practices and standards

What We're Looking For

Required Qualifications:

  • 3+ years of professional experience in data science, machine learning, or related analytical roles
  • Strong proficiency in Python or R for data analysis and model development
  • Solid understanding of machine learning algorithms, statistical methods, and their practical applications
  • Experience with data manipulation libraries (Pandas, NumPy, Scikit-learn, or equivalent)
  • Demonstrated ability to work with large datasets and databases (SQL proficiency required)
  • Excellent problem-solving skills and attention to detail
  • Strong communication abilities; capable of explaining complex concepts to non-technical audiences
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field (or equivalent professional experience)

Nice to Have

  • Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their ML services
  • Knowledge of big data technologies (Spark, Hadoop, or similar)
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
  • Contributions to open-source projects or published research in data science
  • Certifications in machine learning or data science
  • Experience in specific domains (NLP, computer vision, time series forecasting, etc.)

What We Offer

  • Competitive compensation package commensurate with experience and qualifications
  • Professional development opportunities including training, certifications, and conference attendance
  • Collaborative work environment with talented engineers and data scientists
  • Flexible learning culture that encourages innovation and experimentation
  • Career growth pathways with opportunities to lead projects and mentor team members
  • Work-life balance with a structured 5-day work week (9:30 AM - 6:30 PM)
  • Modern tools and technologies to support your work and professional growth

About CODVO.AI

CODVO.AI is a forward-thinking technology company specializing in AI and data science solutions. We partner with organizations globally to transform data into actionable intelligence and build intelligent systems that drive business value. Our team is composed of passionate professionals committed to excellence, innovation, and delivering measurable impact for our clients.


Employment Details:

  • Type: Full-time, Billable Engagement
  • Location: Doha, Qatar (Work From Office)
  • Schedule: 9:30 AM - 6:30 PM, 5 days per week
  • Experience Level: Mid-level (3+ years)

Apply Now

Data Science

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Quick Info

Job ID#7
PostedApr 3, 2026
DepartmentEngineering
Work ModelOn-site