REMOTE
Main Responsibilities
- Develop advanced solutions combining business intelligence, data engineering, and generative AI;
- Create dashboards, reports, and interactive applications to communicate complex insights;
- Design scalable data architectures to support operations and AI-driven analytics;
- Collaborate with leadership in shaping strategic solutions and participate in internal initiatives for continuous learning and innovation;
- Drive innovation and contribute directly to business growth and operational excellence.
Benefits
- Work directly with portfolio companies to drive innovation and generate real impact;
- Leverage cutting-edge AI tools to accelerate full stack development;
- Be part of a high-performance team within a long-term investment company;
- Competitive compensation package, benefits, and professional growth opportunities.
Required Knowledge
- Degree in Data Science, Computer Science, Engineering, or related fields;
- Hands-on experience in data science, AI/ML engineering, BI, or data engineering (minimum of 3 years);
- Advanced proficiency in SQL and Python (including frameworks such as Plotly Dash, Streamlit);
- Experience with BI tools (Power BI, Looker) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch);
- Practical knowledge or familiarity with generative AI and large language models (LLMs), including API integration and fine-tuning;
- Strong understanding of data warehousing, data modeling, and ETL/ELT best practices;
- Fluency in English (spoken and written) for communication in a global environment.
Desired Knowledge
- Experience leading AI or data science projects;
- Knowledge of MLOps and big data technologies (e.g., Spark);
- Certifications in cloud AI/ML and Power BI.
Skills
- Analytical thinking and data-driven mindset;
- Clear communication and technical influence;
- Strong team collaboration;
- Initiative and innovation in AI solutions;
- Ability to translate data into business impact;
- Continuous curiosity and active learning.
