Senior Machine Learning Data Scientist
OuraFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess a Bachelor's degree in Engineering, Computer Science, or Mathematics, with over 4 years of industry experience in data mining, machine learning, statistical analysis, and predictive modeling. A deep understanding of statistics and machine learning techniques, including regression, classification, clustering, and optimization, is essential, along with experience building predictive models from scratch. Strong programming skills in Python and intermediate to advanced SQL knowledge are required, as is demonstrable experience with ML packages like scikit-learn, LightGBM, XGBoost, and SparkML. Experience using LLM tools such as Github Copilot, Cursor, or Windsurf is expected, along with an understanding of the tradeoffs between major model providers. Deep learning knowledge and experience with DL toolkits like Tensorflow, Keras, or PyTorch are preferred. Comfort working with cross-functional partners in tech, product, credit, and business, along with exceptionally strong problem-solving and communication skills, is necessary. The ideal candidate would be located in APAC, within the Philippines time zone.
The Staff Data Scientist will lead the development and deployment of machine learning models for Cashalo, the Philippines-based lending business. This role involves developing data standards, analytics pipelines, and new risk models to uncover insights and drive business forward. Responsibilities include collaborating closely with the credit team to influence and utilize models, monitor business outcomes, and enhance analytical tools. The Data Scientist will also work with Cashalo's leadership to refine and execute business plans, partner with international and US credit and data science teams to identify and implement transferable learnings, and collaborate with leaders in product, engineering, marketing, and finance to align team efforts with broader company goals.
Provides personalized investment strategies and services
Arta Finance provides tailored investment solutions for a variety of clients, including individual investors and institutional entities. The company focuses on creating personalized investment strategies that align with the specific financial and tax needs of its clients. Revenue is generated primarily through management fees for overseeing investment portfolios and transaction fees for executing trades. Arta Finance promotes a client-centric approach, encouraging clients to evaluate investment opportunities based on their own objectives and risk tolerance. While the company offers expert advice, it does not guarantee the success of its strategies, emphasizing the risks involved in investing. Additionally, it advises clients to consult tax professionals to consider tax implications before making investment decisions.