Overview
Hybrid
$70+
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Data Science
python
large data sets
data visualization
Power BI
Tableau
R
scala
SQL
data modeling
Jupyter
Zeppelin
AWS
Azure
cloud computing
forecasting
Bayesian networks
graph analytics
database architecture
Job Details
MUST BE LOCAL TO CALIFORNIA.
MUST HAVE SKILLS:
- Works with large data sets, has sequel, python experience
- Produce data visualization, Power BI or Tableau
- Understands Data Science from a modeling perspective, understand how to do scenario analysis and different data modeling
- Utility Experience desired
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.
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.
Qualifications:
- Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience Job-related experience, 8 years,
- Experience in data modeling, 5yrs
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.