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Senior Data Scientist at Malomatia
Doha, , Qatar -
Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Applied Statistics, Machine Learning, Deep Learning, Python, SQL, Experimental Design, Time-Series Analysis, Causal Inference, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Oracle Cloud Infrastructure, Data Visualization

Industry

IT Services and IT Consulting

Description
Must Have * 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. * Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. * Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. * Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. * Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. Nice to have * Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. * Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. * Exposure to deploying models into production in partnership with engineering teams. * Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. * Experience with causal inference or advanced experimentation methods. * Working knowledge of data visualization or business-intelligence tools for stakeholder communication. * Relevant data science or cloud certifications.
Responsibilities
The Senior Data Scientist leads complex analytical engagements to translate ambiguous business and policy questions into rigorous statistical and machine-learning solutions. They are responsible for setting modeling standards, mentoring junior scientists, and collaborating with engineering teams to deploy models into production.