Data Scientist W2 Only

TOP THINGS:

1. Works with large data sets, has sequel, python experience

2. Produce data visualization, Power BI or Tableau

3. Understands Data Science from a modeling perspective, understand how to do scenario analysis and different data modeling

4. Utility Experience (understand this may be unlikely)

Position Summary:

We are seeking an experienced Data Scientist in the Ops Support Data & Analytics who will provide strong execution and delivery of data science. Working as a part of the product team, this Data Scientist will translate business needs into advanced analytics and advanced data modeling. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence.

Position Responsibilities:

• Leads development of high complexity models and training sets
• Provides hands-on execution and implementation of data science models
• Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
• Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
• Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
• Performs analysis on complex data models requiring customized reports and data and presents recommendations. Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
• Job-related experience, 8 years, OR Master's Degree and job-related experience, 6 years, and job-related experience, 3 years. Experience in data modeling, 5yrs

Desired Education / Skills:

• Experience with Python, R, Scala, SQL
• Experience data science notebooks (Jupyter, Zeppelin or other)
• Experience with AWS, Azure, cloud computing technologies
• Energy industry experience
• Experience designing efficient data science workflows and database architecture for data science purposes
• Experience with forecasting, Bayesian networks, and graph analytics
• Strong statistics experience