Data Scientist

Summary

Andersen, an international IT company, invites an experienced Data Scientist to work in the field of Fintech.

The customer is a leading player in the electronic payment systems market in Azerbaijan, with a network of over 2,500 terminals and more than 500 types of services. The company provides convenience and reliability for paying utility bills, mobile services, banking, and government services.

The project is the first large-scale e-wallet for cashless transactions in Azerbaijan's ecosystem, with over 5,500 terminals nationwide.

Responsibilities

• Analyzing data to identify trends, patterns, and actionable insights, independently solving complex data-related problems.
• Designing and developing end-to-end data science solutions, from initial analysis and model development to deployment, optimizing for performance and scalability.
• Creating models tailored to optimizing ad targeting, bid strategies, and campaign performance analysis.
• Collaborating with both technical and business teams to understand requirements and translate them into data-driven solutions and insights, particularly focusing on enhancing advertising effectiveness and ROI.
• Maintaining and optimizing existing data processing pipelines and machine learning models, with a strong emphasis on applications within the ad-tech ecosystem, ensuring high efficiency and alignment with dynamic market trends.

Requirements

• Experience in data science, preferably in a product-focused environment for 3+ years.
• Experience in AdTech (or related field) for 2+ years.
• Proficiency in Python and SQL for large-scale data processing and analytics.
• Experience with data manipulation frameworks such as PySpark and Pandas in distributed environments.
• Skills in leveraging cloud platforms like AWS for scalable ML workflows and deployment.
• Hands-on expertise in training deep neural networks using PyTorch, with configuration management via Hydra and experiment tracking.
• Proven experience in building and deploying end-to-end machine learning services in production.
• Strong understanding of key Ad Tech performance metrics including CPI, CPA, CPC, and ROAS.
• In-depth knowledge of sequential recommendation systems for personalized ad targeting.
• Solid grasp of Transformer architectures and their applications in content ranking and user behavior modeling.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong analytical skills with the ability to derive insights from complex datasets.
• Proficiency in statistical modeling and machine learning techniques.
• Level of English - from Pre-Intermediate and above.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.

Join us!