Data Scientist - Analytics

Job Title:
Data Scientist - Analytics
Job Number: 11957

Location:

Vancouver, WA
Hybrid: onsite - 3 days per Week, Position approved for Telework on Mondays and Fridays. In the office attendance required Tuesday, Wednesday and Thursday each week. Mondays and Fridays may potentially require some onsite days based on training / project / workload needs or as requested
Overtime: 15%
Travel:
Up to 15% to local meetings/trainings
Length: 5 years

MUST be US Citizen to be eligible to apply for Federal Background Check

Requires Real  or Valid Passport to interview

SUMMARY

The full-time contract Data Scientist assignment will work within the corporate Transmission Infrastructure Asset Management organization on the Strategy and Planning team. This assignment will provide support for projects under the division's program by providing analytical expertise for planning, development, integration, and implementation of asset management technologies, methods, and standards for interim and long-term solutions to manage risk and spend efficiency on the corporate transmission system.

This assignment will analyze, process and model data and interpret the results to develop data-driven solutions

POSITION RESPONSIBILITIES

• Works closely with asset management teams to identify and answer crucial strategic asset management questions, leading efforts to provide data-driven insights that support and inform broad strategic initiatives.

• Drives the development of innovative data solutions to extract, analyze and model data to solve or answer previously unanswered problems of a complex and nuanced nature.
• Introduce new analytical and predictive models and methodologies that serve to establish new best practices in day-to-day operations.
• Employs mastery of a broad range of advanced methods in mathematics, statistics, computer science, and machine learning to develop best-in-class analytical techniques for modeling complex patterns in a variety of data types.

• Develops and recommends innovative approaches and new solutions for data access, maximization and utilization and identifies emergent trends and opportunities for future development.

• Performs research to design and implement efficient algorithms for extracting information from large quantities of raw data across numerous disparate and potentially conflicting data sources.
• Performs independent studies and assessments to evaluate the effectiveness and efficiency of new computational and storage technologies in comparison to current systems capabilities.
• Provides useful visuals and executive summaries as a technical advisor to senior management and other stakeholders.
• Explains and shares model output to impacted and interested operational and executive parties and stakeholders.
• Develops and applies innovative statistical and mathematical principles and concepts along with appropriate testing and prototyping programs.

• Provides technical expertise on analytics that address corporate and industry specific questions.

• Create procedural and technical documentation of models before handing over routine model running to reporting personnel

• Reviews analytics created by others, provide advice and consultation, and lead independent verification of results, when needed.
• Facilitates coordination of assumptions, data and selection of methodologies

REQUIREMENTS
Education & Experience:

• A Bachelor’s or Master’s degree in advanced mathematics, computer science, machine learning, or statistical methods is required:

• With a Master’s degree, 7 years’ of hands-on experience performing the following is required
• With a Bachelor’s degree, 9 years’ of experience is required:

• Manipulating data sets, querying databases, and building statistical models
• Statistical or data mining techniques
• Using Web Services
• Analyzing data from 3rd party users
• Developing data models and algorithms
• Creating and using advanced machine learning algorithms and statistics
• Knowledge and understanding of financial analysis/budgeting, risk analysis, probability and statistics, and electric utility operations

• With a Bachelor’s degree, at least 10 graduate credits in computer science algorithms, statistics, software design, or data management OR one of the…