Masters or PhD in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required.
Experience using Python to manipulate data and draw insights from large data sets.
Experience applying unsupervised and supervised machine learning algorithms: clustering, decision trees, regression, etc. Understand their real-world advantages/drawbacks.
Experience applying advanced machine learning algorithms: boosting, ensembles, neural networks, gridsearch, etc. understand their real-world advantages/drawbacks; have intuition on the best algo & hyperparameter to leverage
Good communication and presentation skills
Bonus experience in the following: unstructured data, BeautifulSoup, NLP, time-series modeling, RNN
Fintech Industry experience preferred
-100% remote job
-PRODUCT company (we are building an R&D center in Kyiv which working directly for the US-based product company)
-BEST compensation for your skills and experience (we still can discuss)
-FLEXIBLE work hours, health insurance
Mine and analyze data from internal database and external vendor data to optimize and improve business decisioning
Research and evaluate new data vendors and make recommendations
Engineer new features and determine feature importance
Develop custom predictive models to optimize various functions across the organization, including marketing, risk, and operations
Develop processes and tools to monitor and analyze model performance and data accuracy
Work independently to create data-backed recommendations to help Sr. manger make strategic business decision
Liberty Lending (part of The USA Nation’s Top Rated Debt Consolidation Company www.nationaldebtrelief.com)
We are building mobile digital banking (Neobank) and lending platform for The USA and worldwide. At Liberty Lending, we are passionate about revolutionizing the banking system and developing innovative FinTech solution