Senior Machine Learning Data Scientist
OuraFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess a BS degree in engineering, computer science, finance, or mathematics, with at least 6 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 required, along with experience building predictive models from scratch. Strong programming skills in Python with intermediate to advanced SQL knowledge and demonstrable experience with ML packages like scikit-learn, LightGBM, XGBoost, and SparkML are essential. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred. The role also requires comfort working with cross-functional partners in tech, product, credit, and business, and exceptionally strong problem-solving and communication skills.
The Staff Data Scientist will be responsible for the entire machine learning model development process, from conception with stakeholders to creation of model pipelines, technical development, and deployment. They will partner with credit, product, and finance teams to make business decisions, grow the user base, and increase retention through machine learning and analytics. Responsibilities include building machine learning models with large-scale datasets to address business priorities, designing and influencing strategies on underwriting, marketing, fraud, and customer experience, and working closely with the engineering team to implement models in production. Additionally, they will collaborate effectively with operations and product to ensure work aligns with broader strategy and business context, and develop data standards and analytics pipelines for current and future analysis. This role specifically involves creating and improving credit risk models and building ML-based paycheck detection algorithms to decrease loss rates and increase approval rates.
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.