Design, develop, and maintain robust data pipelines and storage solutions.
Apply advanced statistical techniques and machine learning models to analyze large datasets and generate actionable insights.
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
Stay ahead of the curve with the latest trends and technologies in data science, machine learning, and Python development.
Contribute to the improvement of data governance, data quality, and data integration practices.
Participate in peer code reviews and share knowledge to foster a culture of excellence and continuous learning.
Lead, support and guide international backend team.
What We're Looking For:
5+ years of experience in data science, data engineering, and Python development.
Ability to lead international developers.
Strong knowledge on LLMs, Agentic AI and Generative AI workflows (langraph, langchain, llamaindex etc.).
Strong proficiency in Python and its data-related libraries (Pandas, NumPy, Scikit-learn, etc.).
Experience with data modeling, ETL processes, and data warehousing solutions.
Familiarity with machine learning algorithms and their real-world application.
Solid understanding of SQL and experience with relational and non-relational databases.
Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.
Effective communication skills, with the ability to collaborate remotely and in person.
Bonus Points For:
Experience with big data technologies (Hadoop, Spark, etc.).
Familiarity with cloud services (AWS, GCP, Azure) and their data services.
Knowledge of data visualization tools and techniques.
Contributions to open-source projects or public GitHub repositories
Bachelor's degree