Data Scientist

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Join AZAD Technology Partners
as a Data Scientist
and
work within the facility's Transmission Infrastructure Asset Management organization on the Strategy and Planning team. This assignment will provide support for projects under the 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 facility's transmission system. This assignment will analyze, process and model data and interpret the results to develop data-driven solutions.

This is a 2 year plus consultant position with high probability of long term and ongoing continued employment. This position is hybrid based in Vancouver, WA with onsite 3 days per week (Tuesday, Wednesday and Thursday).
The hourly pay rate for this position is between $65.00 and $70.00 depending on related qualifications and experience, as well as composition of selected compensation package.

The ideal candidate must possess the minimum qualifications:

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 following Data Science Certifications or similar are also required:

Certified Analytics Professional (CAP)

Data Science Council of America (DASCA) Senior Data Scientist (SDS)

Data Science Council of America (DASCA) Principle Data Scientist (PDS)

Dell EMC Data Science Track

Google Certified Professional Data Engineer

Google Advanced Data Analytics Certificate for Machine Learning

IBM Data Science Professional Certificate

Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis:

Probability and Statistics: including stochastic processes, classical inference techniques, maximum likelihood estimation, Bayesian methods, Monte Carlo, and bootstrapping.

Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods.

Supervised Learning (e.g., regression techniques, regularization techniques, ridge regression, ensemble methods, optimization through linear programming and convex optimization, nonlinear programming).

Unsupervised Learning (e.g., clustering techniques, hierarchical clustering, dimensionality reduction, principal component analysis).

Time Series Analysis.

Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R. Demonstrated knowledge of distributed or parallel processing techniques used in the analysis and processing of large data sets.

Skill in discerning the strengths and weaknesses of various best-practice quantitative solutions for a given real‑world problem and skill in developing new quantitative approaches to cater to particular features as needed when standard assumptions are inappropriate.

Using considerable judgment, proven ability to take vague or broadly defined goals or business objectives and translate them to questions that can be answered or problems that can be addressed via data driven analysis.

Demonstrated ability to communicate and present proposals, findings, and recommendations, both written and orally, to senior staff, management and executives and to external parties (e.g., representing BPA regionally such to key stakeholders, customers, industry organizations, or regulators).

Valid U.S. Driver's License or RealID is required.

Preferred

Skills:

Knowledge of GIS and Asset Management Systems.

Experience with R software product(s).

Energy/utility industry experience.

Experience with Power BI (Microsoft Business Intelligence).

AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the challenges associated with solving the most complex problems by utilizing the most sophisticated technologies and strong people skills.

Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting Services to Fortune 500 and innovative firms since 1992.

AZAD's model provides a unique employment experience that is career path focused, relationship based and dedicated to…