Senior Data Scientist, Application Security
Company Overview
樱花动漫 is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
The Data Science team in the API, AI & Data Security group in 樱花动漫 develops game-changing technologies that rede铿乶e and disrupt our current Security product offerings, helping 樱花动漫 protect its Data, its applications, and its APIs from Security and Fraud abuse.
As a Senior Data Scientist in the team, you鈥檒l be prototyping, building, and delivering algorithms based on multiple data sources - such as LLM prompts and web APIs data of 100+ million consumers and businesses.
We are looking for team members that love new challenges, cracking tough problems, and working cross-functionally. You will be working end-to-end from ideation to implementation and have an opportunity to see your models make a signi铿乧ant impact on 樱花动漫鈥檚 products鈥 and customers鈥 security.
We encourage you to apply if you鈥
- Are excited and passionate about 铿乬hting security attacks and product abuse using advanced ML techniques, with cutting-edge and constantly evolving technology
- Love working as part of a team of experienced data scientists that love research and innovation just as much as they love getting models to production and making an impact
- Are interested in partnering with Security analysts and researches to implement your ideas into mitigation policies that keep the hackers and fraudsters away
- Take pride in having end to end ownership of your models 鈥 from conception, throughout research and development to production and monitoring
Responsibilities
- Develop ML models to identify security exploits, that based on a wide range of algorithms and techniques (classi铿乧ation, clustering, graph based)
- Explore various data sources while leveraging your domain knowledge to craft creative features to boost model performance
- Lead and innovate AI projects in the Security domain, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production
- Be an active partner of the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization
Qualifications
- 3+ years’ Data Science experience, preferably with Fraud, Security, or Credit Risk Detection solutions
- Security domain expertise — an advantage
- Familiarity with LLM based applications, and REST/GraphQL APIs — an advantage
- Experience working on one of the cloud platforms: AWS, GCP, Azure
- Well versed in Data Science languages, tools, and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)
- Resourceful, motivated, and organized
- MSc or PhD in a computational or statistical 铿乪ld (Computer Science, Statistics, Applied Math, Econometrics, Operations Research), or equivalent experience
We use the technology for good to help small businesses and consumers.
Ercan Kaynakca Staff Data Crypto Analyst