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US (All Locations)

About Role

Data Exploration and Model Development

  • EDA with various source data to gain insight into data and clearly explain the observations. Formulate strategy of predictive models exploration and future product integration.

  • Exploring and developing univariate and multivariate forecasting models (AR, ARIMA, VAR, etc.)

  • Exploring and developing neural network-based forecasting models (examples include LSTM-based, AR-net, Neural Prophet, etc.)

  • Systematic benchmarking of various models/platforms

  • Oversee analytics dashboard design and implementation

Skill Details

Technical Skills

Desired Skills

  • Strong skills with EDA with Python or R.  Strong with foundational statistical analysis, common statistical distributions.  

  • Proficient with linear space analysis, such as PCA, SVD, dimensional reductions, explainability, etc.

  • Strong skills with time-series data processing, forecasting models. Traditional AR, MA, ARIMA, VAR. Familiar with neural network-based time series prediction/forecasting: gradient boosting, RNN, AR-net, etc.). 

  • Must have strong programming skills in Python: data structures, OOP, scripting. 

  • Familiarity with SQL database, data warehouse.

  • Familiarity with Docker, Dockerfile.

  • Familiarity with REST API, JSON structure. Python packages like FastAPI. 

  • Familiarity with git operations

  • Good communication skills with team members across different time zones.

  • Strong statistical background, bayesian analysis, matrix exploration.

  • Prior experience with price predictions, cash flow forecasting, etc.

  • Familiarity with AWS Forecast, Fraud Detection

  • Understanding of neural networks underpinnings and toolkits like Pytorch or Tensorflow

  • Familiarity with traditional accounting methodology for quantitative forecasting

  • Prior startup work experience desired.

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