Data Scientist

Data Scientists Responsibilities:

• The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques.

• They are also responsible for moving the models to production environment and automate with appropriate drift monitoring and model improvement process.

• They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards.

• The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner.

• The candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business.

Data Scientists:

• Development of accurate and reliable workforceforecasting models.
• Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed
• Building Project launch impact estimates modelusing tools such as of analytics, time series, probability and deep learning.
• Reduce MAPE (forecasting accuracy) acrossdifferent risk functions.
• Automate data ingestion for Project inputs from Excel to forecasting models
• Improved data quality through rigorous cleaning and transformation processes and automating them.
• Clear documentation of the code and artifacts.
• Actionable insights derived from data analysis to support strategic decisions.
• Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure.

Qualifications Needed

Data Scientists:

• 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research
• 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
• Understanding of demand forecasting & impact on operational capacity planning

Knowledge of time series models and deep learning for time series are an asset