Senior Data Scientist

This is a fully remote position, open to applicants in Serbia.

📋 Description

• Create, train, and validate predictive and optimization models utilizing classical machine learning, statistical modeling, and deep learning frameworks.

• Manage the complete machine learning lifecycle on AWS using tools such as SageMaker, Lambda, and ECS.

• Implement effective MLOps practices, along with CI/CD pipelines and automated retraining processes.

• Develop and execute evaluation pipelines, A/B testing methodologies, and hypothesis testing.

• Set up monitoring protocols for models to oversee data drift, concept drift, and system performance post-deployment.

• Work collaboratively with software and platform engineering teams to enhance inference latency, throughput, and system scalability.

• Collaborate with Product, Commercial, and Strategy stakeholders to translate business challenges into actionable data initiatives.

• Present quantitative insights and strategic trade-offs to both technical colleagues and non-technical executives.

• Impact marketplace metrics, conversion rates, and revenue generation through the application of predictive and optimization models.

⛳️ Requirements

• Minimum of 4 years of practical experience in Data Science or Advanced Analytics achieving significant, production-level business results.

• Advanced knowledge of Python (including Pandas, NumPy, Scikit-learn) and complex SQL queries.

• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.

• Proven experience in deploying, scaling, and managing machine learning applications on AWS cloud infrastructure (SageMaker, ECS, Lambda).

• Strong theoretical and practical understanding of statistical inference, experimental design, and supervised/unsupervised machine learning techniques.

• Familiarity with Generative AI workflows, LLM orchestration, and advanced prompt engineering.

• Bachelor’s degree or higher in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.

• Practical experience with model interpretability and explainability frameworks (e.g., SHAP, LIME) in regulated or customer-facing settings.

• Previous experience in Computer Vision (CV) or Natural Language Processing (NLP).

• Willingness to adapt to UAE working hours.

🏝️ Benefits

• A highly competitive compensation package.

• Ongoing learning and development support with access to state-of-the-art AI/ML tools and platforms.

• Opportunity to join a rapidly growing organization with triple-digit growth.

• Chance to be part of a vibrant, multicultural community of technology experts.

• Commitment to an inclusive workplace and equal employment opportunities.

• Reasonable accommodations provided during the recruitment process.