Role Overview:
- Research, analyze, and present data as assigned.
- Develop statistical models in Python/R.
- Develop detailed codes for data preparation and model scoring to be used in production.
- Prepare detailed documentation of predictive models and make oral presentations to team lead.
- Assist in learning and development of new team members.
- Critically examine and deep dive into models.
- Identify and participate in continuous improvement initiatives.
Responsibilities:
- Complete understanding of the current state of affairs and problem statement
- Experience in data extraction and data manipulation in Python/R.
- Data analysis experience in identifying major trends, univariate and bi-variate analysis.
- Knowledge of time series algorithms like Exponential Smoothing, ARMA/ARIMA/S-ARIMA models.
Additional knowledge involving multi variate time series model is preferred
- Understanding of SAS/R modules/libraries like forecast, t-series, fable etc
- Experience in data control and data automation.
- 6+ yrs of industry experience
Ability to manage team size of at least 1-2 members
1. SQL and any one of R/Python/SAS and Power BI/ Tableau
2. Project Management and Delivery
3. Data wrangling on large and complex databases
4. Experience maintaining ongoing processes
5. Analytical Experience
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