Westar Energy Data Scientist in Topeka, Kansas
Title: Data Scientist
Job Number: DIS00ER
JOB TITLE: Data Scientist
DEPARTMENT: Operational Analytics
LOCATION: Topeka, KS
PAY GRADE: PR2, PR3, PR5, CR3, SP2
Scheduled Work Hours: Monday - Friday, 8:00 a.m. - 5:00 p.m. (Additional hours as required)
Summary of Primary Duties and Responsibilities:
Reports to the Manager of Operational Analytics, candidate utilizes skills in data preparation, statistics, predictive modeling and machine learning to promote continuous improvement in distribution system reliability leveraging available data and technologies. The job will require a highly motivated individual who can develop algorithms and processes that will utilize data from various data stores and turn the data into actionable information to be used in establishing a directed approach to risk-based maintenance practices.
Individual must use their data and analytical ability to:
•find and interpret rich data sources
•manage large amounts of data despite hardware, software, and bandwidth constraints
•merge data sources
•ensure consistency of datasets
•create visualizations to aid in understanding data
•build mathematical models using the data
•present and communicate the data insights/findings
•produce answers in days rather than months
•work by exploratory analysis and rapid iteration
•acquire and present results with dashboards displays of data.
Responsibilities may also include developing of various reports for the tracking of key performance indicators utilizing corporate business intelligence tools that will allow for monitoring of progress towards meeting established goals by various organizations within the company. Currently corporate goals track reliability indices of SAIDI, SAIFI, CAIDI, and CEMI.
Education and Experience Requirements:
Requires a Bachelor's degree in Data Science, Economics, Statistics, Computer Science, Engineering, or Mathematics from an ABET accredited program. A basic understanding of Electric Power System theory and experience in various operational aspects of an electric power distribution system(s) is preferred.
Entry level candidates through highly experienced candidates will be considered for this role, with the ideal candidate having at least three years of related experience applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex data from a variety of sources.
The preferred candidate must demonstrate the following capabilities:
•High competency in computer skills and highly knowledgeable in statistical programming languages including Knime, SAS, Python and R, and database querying languages (SQL).
•Knowledgeable in databases, spreadsheets, word processing and development of web enabled interfaces.
•Possess statistics knowledge and understand when different techniques are or are not a valid approach for analyzing datasets.
•A basic understanding of machine learning methods is required.
•Demonstrate an excellent work history in past job functions.
Skills, Knowledge and Abilities Required:
•Requires the ability to learn various software and major systems in a timely fashion.
•The ability to cleanse data from one raw form into a structured form is frequently required.
•Candidate must possess an intellectual curiosity about the data being analyzed.
•Visualizing and communicating data is incredibly important both for technical and non-technical audiences in creative ways using software tools like Microsoft’s Power BI, Tableau, IBM’s Watson, etc.
•Candidate must possess excellent oral and written communication skills and the ability to present information to all levels of management and work groups in a concise manner.
•Must be able to work effectively with others in a team environment and build relationships with all customers and work groups through strong client interaction.
Licenses, Certifications, Bonding and/or Testing Required:
Valid driver’s license required.
Conditions will vary from office to field environments. Must be able to work additional hours on short notice. Some travel may be required. Must have a satisfactory work record including good attendance.