DAALab
DAALab is an innovative company that empowers businesses by delivering production-level AI solutions. With a strong focus on combining AI, Mathematical Modeling, and Disruptive Technology, DAALab addresses complex problems that have yet to be solved, ensuring that human intelligence remains at the core of its AI strategies. The high talent-density team brings extensive experience from leading financial institutions and tech companies, fostering a culture of collaboration and flexibility. DAALab collaborates with major industry players, facilitating data-driven decision-making across various business operations, including dynamic pricing and optimization.
Data Scientist
February 5
DAALab
DAALab is an innovative company that empowers businesses by delivering production-level AI solutions. With a strong focus on combining AI, Mathematical Modeling, and Disruptive Technology, DAALab addresses complex problems that have yet to be solved, ensuring that human intelligence remains at the core of its AI strategies. The high talent-density team brings extensive experience from leading financial institutions and tech companies, fostering a culture of collaboration and flexibility. DAALab collaborates with major industry players, facilitating data-driven decision-making across various business operations, including dynamic pricing and optimization.
📋 Description
• Your role revolves around taking on defined project tasks and actively contributing to the development and implementation of data science solutions within projects. • This requires a deep understanding of client problems and our services. • You will need to excel at breaking down tasks into actionable steps and presenting results effectively, often communicating with clients. • Key duties encompass performing and interpreting analysis, including the creation of visualizations and dashboards. • Break down problems into actionable steps and solve assigned tasks. • Establish and nurture relationships with immediate colleagues and client teams within specific projects. • Timely updates on work progress are essential, necessitating clear communication with project managers, senior team members, and line manager. • Able to solve problems efficiently with minimal supervision, while adhering to best practices and company guidelines, is crucial. • Contributing ideas to problem-solving sessions and understanding the broader context of related work are integral to your role.
🎯 Requirements
• Solid experience in data analysis, modeling, machine learning and domain-specific knowledge. • Ability to work autonomously and independently. • Proficiency in Python programming and machine learning models. (RAG is a huge plus) • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Economics, or any other quantitative field. • Ideally, 3-5 years of relevant work experience - project assignments, ideally client or corporate projects, outside of academia.
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