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We are looking for an expert in data science and economics to lead the development of labor supply forecasting models. As a Senior Data Scientist in PXT Finance, you will leverage state-of-the-art time series and survival models to predict workforce behavior for financial planning. You will also use big data frameworks and causal inference techniques to extract market insights from terabyte-scale datasets.
Key job responsibilities
- Lead the development of forecasting and survival models to predict labor supply dynamics.
- Develop rigorous selection and validation protocols to identify models for production deployment.- Leverage big data processing frameworks such as Apache Spark to ingest high volume headcount data into analytics workflows.
A day in the life
As a Data Scientist in PXT Finance you will focus on data analysis and model development. This includes data transformation, model evaluation, and communication of results. You'll also work with customers, partners, and leaders to guide project decisions.
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
- Experience working with scientists, economists, software developers, or product managers
- Experience in forecasting analyses
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