Data Scientist II

Immediate need for a talented Data Scientist II. This is a 06+months contract opportunity with long-term potential and is located in Charlotte, NC(Hybrid). Please review the job description below and contact me ASAP if you are interested.
 
Job ID: 25-64047
 
Pay Range: $60 - $65/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
Key Responsibilities: 

• Develop code to transform and automate data flows from market data providers, internal business units, and external vendors to run large generation fleet optimization models and extract outputs for reports.
• Take ownership of existing or new models and analytic tasks supporting the optimization of the economics and reliability of Client assets and systems. Evaluate assumptions, accuracy, and performance of models. Frequently update/maintain models as technical and business requirements change.
• Present models, analyses and insights to technical and business audiences. Communicate/educate and train at all levels in the organization.
• Establish and manage tools and practices to optimize performance of large data applications including on-premises and cloud databases.
• Author technical documents and white papers for internal and external audiences, create compelling visualizations and contribute to regulatory filings and testimony.
• Follow best practices for model governance and business continuity including version control, robustness/fault tolerance, model documentation, and peer training.
• Create interactive dashboards and reports to maximize the value of data and forecasts in business decision making throughout the organization.

 Key Requirements and Technology Experience: 

• Key skills; Forecasting , Price Forecasting , Supporting modelling, Customer model development, Regression type applications, machine learning pipelining, Python.
• Strong programming skills in data science/mathematical software packages specifically MATLAB, Python, SAS or R; MATLAB and Python expertise strongly preferred.
• Strong understanding of probability distributions, stochastic processes, tail risk estimation.
• Excellent communication and presentation skills with ability to communicate technical subjects to a wide range of audiences.
• Practical experience with real-world implementation of regression and machine learning models.
• Experience with mathematical optimization techniques and production cost models.
• Practical knowledge of timeseries simulation methods and related analysis including PCA, covariance analysis, cointegration, ARIMA and Box-Jenkins analysis.
• A general understanding or strong interest in utility, power, gas, oil or coal industries.
• Practical experience managing data in traditional (Oracle, SQL Server) and/or cloud databases (AWS). Able to create tables/views and query large databases with minimal assistance.
• Practical experience developing dashboards in data visualization tools such as Qlikview and Power BI.
• Advanced knowledge of Excel and VBA.

 

Our client is a leading Utility Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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