Senior Data Scientist (Remote) at Arta Finance

Candidates should possess a Bachelor's degree in engineering, computer science, finance, or mathematics, with at least 4 years of industry experience in data mining, machine learning, statistical analysis, and predictive modeling. A deep understanding of statistics and machine learning techniques like regression, classification, clustering, and optimization is required, along with experience building predictive models from scratch. Strong programming skills in Python and intermediate to advanced SQL knowledge are essential, as is demonstrable experience with ML packages such as scikit-learn, LightGBM, XGBoost, and SparkML. Knowledge in deep learning and experience with DL toolkits like Tensorflow, Keras, or PyTorch are 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.