Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate.
Data Scientist
Remote
European Union
Senior
B2B
Lead the full lifecycle of data science projects, from developing initial concepts to deploying scalable solutions.
Actively collaborate with business customers and IT stakeholders to accurately define project requirements and objectives.
Provide expert guidance and hands-on development in areas such as Forecasting, Anomaly Detection, LLM/NLP, and more.
Assess and choose appropriate data science methodologies, providing both quantitative and qualitative analysis.
Develop and implement machine learning architectures and pipelines.
Oversee the deployment, optimization, and maintenance of analytics solutions, ensuring high performance and scalability.
Engage in ongoing professional development and knowledge sharing within the advanced analytics community.
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company.
Chance to participate in interesting projects and work with the latest information technologies.
Attractive remuneration rates offered.
Involvement in the most prestigious international projects.
Access to Multisport benefits and private healthcare services.
Advanced degree (MSc, PhD, or equivalent) in Data Science, Statistics, Mathematics, Physics, Computer Science, Engineering, or related field.
Minimum of 5 years in data science, with a strong background in applying statistical modeling and machine learning to solve complex business issues.
Proficiency in Python, experience with AWS, and familiarity with data analysis and preparation techniques.
Expertise in Time Series Forecasting, Anomaly Detection, Text Analytics, NLP, GenAI, Deep Learning.
Experience with MLOps tools and practices, including Docker, Kedro, Kubernetes, and CI/CD pipelines (GitLab, Kubeflow).
Experience with data storage solutions (e.g., Snowflake, SQL) and visualization tools.
Excellent verbal and written communication skills in English, capable of engaging effectively with a diverse range of stakeholders.
Advanced experience in Time Series Forecasting.
Understanding of finance or treasury processes.
