The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector.
Requirements
- Bachelor’s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master’s or Ph.D. preferred.
- 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact.
- Extensive experience in the financial services industry, with a deep understanding of financial data and business processes.
- Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results.
- Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks.
- Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries).
- Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques.
- Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
- Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts.
- Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases).
- Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards.
- Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
- Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies.
- Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions.
Benefits
- Competitive salary
- Benefits package
- Opportunities for career growth and development
