Senior Machine Learning Data Scientist

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. Collaborating with cross-functional teams, including data engineers, front-end developers, and security specialists, you will integrate AI models into business solutions. Additionally, you will conduct research and experiments to enhance AI models and algorithms, staying updated on the latest AI/ML technologies and trends. To excel in this role, you must possess at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on expertise in areas such as Linear Regression, Classification Techniques, Logistic Regression, and Unsupervised Learning techniques like k-means/hierarchical clustering. Proficiency in Optimization methods, working in R/Python, T-SQL, and graph-based models is essential. Hands-on experience with Python, Azure Machine Learning, and other Azure AI tools is highly desirable. Your role will involve developing and deploying machine learning models for various use cases, optimizing models through advanced feature engineering, working with large-scale datasets, and collaborating with stakeholders to design data science solutions that address organizational needs. Strong problem-solving skills, solid understanding of statistical analysis and machine learning algorithms, and excellent communication skills are key attributes for success in this position. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are advantageous. Join Dark Matter Technologies to be at the forefront of data science innovation and contribute to reshaping the future of loan origination through advanced AI technologies and solutions.,