Вакансія Senior Data Scientist

Skills

• Python
• scikit-learn
• Pandas
• Seaborn
• SQL
• Git
• Docker

Опис вакансії

Ciklum is looking for a Senior Data Scientist to join our team full-time in Ukraine.

About the role:

As a Senior Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow. Our client is a global food tech company, with over 98 million active users across 22 countries. They connect customers from Amsterdam to Auckland with the food they love, providing innovative solutions in the food delivery industry. As a rapidly growing business, they are focused on refining their processes and implementing methodologies that support both local and global teams. We are now looking for a Senior Data Scientist to join the dynamic team in Ukraine, where you will have the opportunity to drive data-driven strategies, optimize business processes, and support the company’s continuous growth and success in an ever-evolving industry.

Responsibilities

• Idea Generation & Business Case Development
• Proactively develop innovative solutions and create compelling business cases
• Pitch ideas to key stakeholders to gain buy-in and support
• Data Analysis & Insight Communication
• Analyze data to extract actionable insights aligned with business goals
• Present findings through clear visualizations and presentations to diverse audiences
• Machine Learning Model Development
• Develop and implement scalable, accurate machine learning models for efficient predictions
• Collaborate with ML Engineers to deploy, maintain, and enhance models
• Cross-Functional Collaboration
• Work with product teams to define success metrics and ensure alignment with business objectives
• Partner with Developers and Operations Research Scientists to integrate and apply predictions effectively
• Mentorship & Knowledge Sharing
• Mentor junior data scientists, offering guidance and feedback
• Foster a collaborative environment, sharing best practices and insights across the team

Requirements

• Advanced proficiency in data science and machine learning methodologies, with extensive experience applying these techniques in production environments
• Proven experience in getting models to production, scaling, and maintaining them for long-term success
• Python (scikit-learn, pandas, seaborn, etc.) in notebooks and pure Python code for production, and strong proficiency in SQL
• Strong understanding of software development best practices, including testing, git, code reviews, and model lifecycle management
• Working with Docker containers to support reproducible and scalable environments
• Experience with real-time data integration and machine learning frameworks
• Basic understanding of mathematical optimization is required
• Experience with real time inference and stream processing is required

Desirable

• Leadership and mentorship skills, with the ability to guide and develop junior data scientists and foster team collaboration
• A holistic project approach, from generating business cases to managing the full lifecycle of models
• Ability to generate innovative ideas, test hypotheses rigorously, and pitch business cases to stakeholders
• Critical analysis of approaches, assumptions, and business impact, with the ability to challenge and refine strategies for optimal results
• Preference for simple, scalable, and effective solutions, particularly in complex projects
• Expertise in agile environments with strong collaborative skills, particularly in cross-functional teams
• Excellent communication skills, including the ability to present complex data insights and machine learning concepts to a wide range of stakeholders, both technical and non-technical