Data at ACS Professional Vancouver, Washington

Data Scientist

ACS Professional Staffing is looking for an employee to work on-site with our client. This Data Scientist role provides support for projects under the Transmission Infrastructure Asset Management program by providing analytical expertise for the planning, development, integration, and implementation of asset management technologies, methods, and standards for interim and long-term solutions to manage risk and improve cost efficiency on the transmission system. This role analyzes, processes, and models data and interprets the results to develop data-driven solutions.

This full-time position is located in Vancouver, WA. Pay range: $50.29 - $71.85. Benefits include paid holidays, PTO, sick leave, EAP, and benefit options available such as medical, dental, vision, FSA, DCA, LPFSA, HSA, Group Life/AD&D, Voluntary Life/AD&D, Voluntary Short-Term Disability, Voluntary Long-Term Disability, Voluntary Critical Illness, Voluntary Accident, Hospital Indemnity, and 401k. Other benefits include the Calm App and LifeBalance Discount Program.

Responsibilities include working closely with asset management teams to identify and answer crucial strategic asset management questions, driving the development of innovative data solutions, employing mastery of advanced methods in mathematics, statistics, computer science, and machine learning, developing and recommending innovative approaches and new solutions for data access, maximization and utilization, performing research to design and implement efficient algorithms for extracting information from large quantities of raw data, performing independent studies and assessments to evaluate the effectiveness and efficiency of new computational and storage technologies, providing useful visuals and executive summaries as a technical advisor to senior management and other stakeholders, explaining and sharing model output to impacted and interested operational and executive parties and stakeholders, developing and applying innovative statistical and mathematical principles and concepts along with appropriate testing and prototyping programs, providing technical expertise on analytics that address organization- and industry-specific questions, creating procedural and technical documentation of models before handing over routine model running to reporting personnel, reviewing analytics created by others, providing advice and consultation, and leading independent verification of results, when needed, facilitating coordination of assumptions, data and selection of methodologies.

Requirements include a Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods, 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, 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, knowledge of GIS and Asset Management Systems, experience with R software product(s), energy/utility industry experience, experience with Power BI (Microsoft Business Intelligence), and a valid U.S. Driver's License is required.