Principal Data Scientist - Credit Risk - Machine Learning & Big Data Analysis

Join the Team: Principal Data Scientist - Credit Risk Are you a highly skilled data scientist with a passion for credit risk analysis and machine learning? Do you have a strong background in data analysis, modeling, and visualization? Are you looking for a challenging and rewarding role that allows you to work with a talented team of professionals? If so, we invite you to apply for the Principal Data Scientist - Credit Risk position at Workwarp. About Workwarp At Workwarp, we are committed to empowering individuals and organizations to achieve their full potential. Our team is dedicated to developing innovative solutions that make a meaningful impact in the world. We value diversity, inclusivity, and collaboration, and we are excited to welcome a new team member who shares our passion for data science and credit risk analysis. Job Summary As a Principal Data Scientist - Credit Risk, you will lead projects that develop and perform complex analyses using Big Data technologies. You will be responsible for exploring new modeling techniques, evolving technologies, and emerging industry trends to stay ahead of the game. Your work will help us meet our customers' needs and make it easier for them to do business with us. Key Responsibilities: Develop and implement machine learning models to analyze credit risk and predict customer behavior Collaborate with cross-functional teams, including engineers, managers, and stakeholders, to identify opportunities to improve our products and customer experience Explore research in the data science field and utilize open-source research results to improve customer-facing products Develop comprehensive understanding of data and complexity of multiple systems to develop a seamless data pipeline that can visualize data at scale with 100% accuracy Mentor and develop the team to ensure that they have the skills and knowledge needed to succeed Work with Teradata, Hive, Spark, Tableau, Postgres, and other big data systems with Verizon grid computing infrastructure Communicate insights and findings to leadership and other stakeholders Requirements Essential Qualifications: Bachelor's degree or four or more years of work experience Six or more years of relevant work experience as a data scientist or statistical modeler Experience in one or more languages like Java, R, MATLAB, Python - generators, iterators, comprehensions, Numpy, Pandas, Matplotlib, Sklearn, Keras, Tensorflow, Pytorch Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning, especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling Experience with Visualization tools Matplotlib, Seaborn, Tableau, Grafana, etc. Demonstrated experience writing queries for reporting, analysis, and extraction of data from big data systems Preferred Qualifications: Experience applying machine learning in a credit or banking use case Extensive experience in Loan Loss Forecasting, including developing PD, LGD, risk rating, and cash flow models Experience automating and productionalizing credit model processes and documentation using gitlab & Sphinx Ability to engage with larger credit organizations, including presentations, instructional meetings, and code reviews A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research Experience in visual science / dashboard design principles Experience in applying statistical ideas and methods to data sets to answer business problems Experience with programming languages, like Python, SQL, or R Experience with Machine Learning algorithms and tools What We Offer Compensation and Benefits: We offer a competitive salary and a comprehensive benefits package, including: Health and wellness benefits Short-term incentives 401(k) Savings Plan Stock incentive programs Paid time off Parental leave Adoption assistance Career Growth Opportunities: We are committed to helping our employees grow and develop their skills. As a Principal Data Scientist - Credit Risk, you will have opportunities to: Lead projects and teams Develop and implement new machine learning models and techniques Collaborate with cross-functional teams Mentor and develop junior team members Work Environment: We offer a flexible and remote work environment, with a minimum of eight assigned office days per month. Our team is located in a dynamic and collaborative workspace, and we encourage our employees to work from home or other remote locations. How to Apply If you are a highly skilled data scientist with a passion for credit risk analysis and machine learning, we encourage you to apply for the Principal Data Scientist - Credit Risk position at Workwarp. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. We are an equal opportunity employer and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. Apply for this job