We are looking for a Senior Data Scientist who is passionate about using data to solve challenging problems and develop innovative solutions to impact business results. You will be responsible for analyzing and interpreting complex datasets to turn this enormous volume into meaningful insights in order to drive strategic decisions.

• Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
• 5+ years of hands-on experience in data science, machine learning, or a closely related domain
• Advanced programming skills in Python (preferred) or R, including proficiency in ML and data processing libraries
• Deep knowledge of statistics, experimental design, machine learning algorithms, and model optimization
• Experience working with large-scale datasets, feature engineering, model evaluation, and MLOps practices
• Proficiency with data visualization, analytics storytelling, and presenting insights to senior stakeholders
• Strong communication skills and the ability to translate complex concepts into actionable insights
• Ability to work both independently and collaboratively in high-impact, fast-paced environments
• Experience mentoring junior or mid-level data professionals is a strong plus

• Opportunities for professional growth and development
• Competitive salary and bonuses
• Comprehensive insurance coverage
• Supportive work environment
• Visa Premium salary card
• Corporate discounts and events
• Additional vacation days
• Discounted education and employee loans
• New cozy studio office in Port Baku Tower 2
• Strong teamwork with Agile principles, regular team buildings and themed events
• Multicultural environment with foreign colleagues sharing their best experiences

• Lead complex analytical projects, from business problem definition to model deployment
• Collect, clean, explore, and transform large datasets to enable robust modeling
• Design, build, and optimize advanced machine learning and statistical models
• Conduct deep-dive analyses to uncover patterns, trends, and opportunities for business impact
• Communicate findings, insights, and recommendations to senior management and cross-functional partners
• Collaborate with data engineers, ML engineers, and product teams to build scalable data pipelines and production-ready models
• Establish best practices for model governance, versioning, monitoring, and performance evaluation
• Mentor junior/mid-level data scientists and contribute to overall team capability development
• Stay up to date with emerging ML techniques, tools, and industry trends, and drive innovation within the data science practice

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