Applied Scientist II, FinAuto
Finans, bank och juridik · Bank och investeringar · Finansiell analys
I korthet
Applied Scientist II, FinAuto is responsible for building next-generation financial systems using machine learning and statistical approaches to detect and prevent financial fraud, abuse, and waste. This role involves researching, developing, and implementing ML models, analyzing large datasets, and collaborating with engineering and business teams to deploy solutions into production.
Ansvarsområden
- Understand the business and discover actionable insights from large volumes of data through application of machine learning, statistics or causal inference.
- Analyse and extract relevant information from large amounts of Amazon’s historical transactions data to help automate and optimize key processes.
- Research, develop and implement novel machine learning and statistical approaches for anomaly, theft, fraud, abusive and wasteful transactions detection.
- Use machine learning and analytical techniques to create scalable solutions for business problems.
- Identify new areas where machine learning can be applied for solving business problems.
- Partner with developers and business teams to put your models in production.
- Mentor other scientists and engineers in the use of ML techniques.
Krav
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- Experience building machine learning models or developing algorithms for business application.
Önskade kvalifikationer
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.
- Experience in professional software development.
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