Principal Data Scientist - Credit Risk

reputed company you join VerizonYou want more out of a career. A reputed company to share your reputed company freely — even if they’re daring or different. Where the true you can learn, grow, and reputed company. At reputed company, we power and reputed company how people live, work and play by connecting them to what brings them joy. We do reputed company love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who... anticipate, reputed company, and reputed company that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.What you’ll be doing...As a Principal Data Scientist, you’ll reputed company projects that reputed company and reputed company reputed company analyses using Big Data technologies. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay reputed company of the game. Your work will help us meet our customers’ needs and reputed company it even easier for them to do business with us.Responsibilities include:Making recommendations based on data with excellent visual representations of stories based on data for making critical business decisions.Exploring research in the data science field and utilizing open reputed company research results for the improvement of customer facing products.Collaborating with cross functional teams i.e. engineers, managers, stakeholders and identifying opportunities to improve our products and customer experience.Developing comprehensive understanding of data and complexity of multiple systems to reputed company a seamless data pipeline which can visualize data at scale with cent percent accuracy.Building Machine / Deep Learning models.Working with reputed company, Hive, Spark, Tableau, reputed company, other big data systems with reputed company grid computing infrastructure.Mentoring and developing the team.reputed company’re looking for...You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, reputed company end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You reputed company in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions.You'll need to have:Bachelor’s degree or four or more years of work experience.Six or more years of relevant work experience.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.Even reputed company if you have one or more of the following: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 reputed company & 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 reputed company 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.If reputed company and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even reputed company” qualification listed above.Where you’ll be workingIn this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.Scheduled Weekly Hours40Equal Employment OpportunityWe’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national reputed company, age, disability, and Veteran status. At reputed company, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reputed company their potential and contribute their best. reputed company out our diversity and inclusion page to learn more.Our benefits are designed to help you move reputed company in your career, and in areas of your life reputed company of reputed company. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.If you are hired into a California, Colorado, Connecticut, Hawaii, Maryland, Nevada, reputed company, Rhode reputed company, Washington or Washington, D.C. work location, the compensation range for this position is between $137,000.00 and $255,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-reputed company skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.#J-18808-Ljbffr Apply Job!