Position: Data Scientist
Company: Liberty Lending, LLC
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2021-05-01T00:00:00+03:00

We are looking for a curious and collaborative Data Scientist to solve business problems using data. As a Data Scientist, you will use analytical, statistical and programming skills to collect, analyze and interpret large dataset. Then you will develop data-driven business solutions.

The right person has:

Masters or PhD in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required.

4-5+ years of experience extracting, cleaning, manipulating datasets and building statistical models.

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

Not required, but would be a plus if:

Fintech Industry experience preferred

You will be responsible for:

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