Senior Data Scientist

Everest Consultants, Inc
Everest Consultants, Inc

Job Overview

Title Senior Data Scientist Location Vancouver, WA (Remote through 2020) Duration 1 year (addl. 4 years extension probable) s being considered due to federal government requirement POSITION DETAILS The full-time contract Data Scientist position will work within Transmission Engineering Technical Services (TE) organization on the Internal Operations (TEB) team. This position will provide support for projects under the Transmission Engineering and Technical Services Programs by providing expertise for planning, development, integration, and implementation of state-of-the-art technologies, methods, and standards for interim and long-term solutions to manage risk, and spend efficiency on our transmission system. This position will analyze, process and model data and interpret the results to develop data-driven solutions. ORGANIZATION CULTURE Engineering Technical Services is responsible for implementing the Transmission Capital Program, providing technical support for the Transmission Maintenance Program and providing real property services to the agency. This organization provides services supporting the capital program that include project management, engineering, design, specifications, contract construction management, construction inspection and commissioning services. Projects include transmission lines, substations, control and protection systems, telecommunication facilities and nonelectric facilities. Services supporting transmission maintenance include developing maintenance standards, field and laboratory testing services, specialized technical training, equipment failure analysis, high level equipment and systems expertise, spare parts sourcing, and development of advanced maintenance techniques. Technical experts make recommendations, and promote the development and integration of advanced technologies to improve system reliability and reduce costs. POSITION RESPONSIBILITIES Works closely with engineering teams to identify and answer crucial operational and reliability questions, leading efforts to provide data-driven insights that support and inform broad strategic initiatives. – Drives the development of innovative big data and data mining solutions to help our agency by enabling them to extract, analyze and model data to solve or answer previously unanswered problems of a complex and nuanced nature. – Introduces 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 interprets 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 our agency and industry specific questions. – Creates procedural and technical documentation of models before handing over routine model running to reporting personnel. – Reviews analytics created by others, provides advice and consultation, and leads independent verification of results, when needed. – Facilitates coordination of assumptions, data and selection of methodologies. REQUIREMENTS Education Corresponding Experience (required) Master’s degree or higher in advanced mathematics, computer science, machine learning, or statistical methods is required. 7 years’ of experience with the following is required – Manipulating data sets and building statistical models – Statistical or data mining techniques – Using Web Services – Querying databases and using statistical computer languages – Coding knowledge and experience with several languages – Analyzing data from 3rd party users – Developing data models and algorithms – Creating and using advanced machine learning algorithms and statistics – Visualizingpresenting data for stakeholders Required Technical Skills Experience (required) 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, including ARIMA and state space models. – Demonstrated knowledge of computer languages including, but not limited to, Java, and SQL. 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. – Demonstrated ability to leverage and customize elements of statistics, machine learning, optimization, signal processing, text retrieval, and natural language processing to analyze data and interpret results, in order to solve problems and answer questions of a highly complex nature. – 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 our agency regionally such as to key stakeholders, customers, industry organizations, or regulators). Preferred Skills Experience (optional) – Knowledge of GIS and Asset Management Systems. – Experience with R software product(s) – Energyutility industry experience. – Experience with Power BI (Microsoft Business Intelligence) Everest Consultants is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil right laws.Senior Data Scientist 1

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