Job Description:
A Pacific Northwest Utility seeks an experienced Data Scientist II who will lead a variety of modeling projects to understand and serve the organizations customers better. The ideal candidate independently performs highly complex statistical and machine learning analytics of large data sets to provide statistical, predictive and prescriptive insights to the organization. The level II is for fully qualified, seasoned professionals with a full understanding of their business or organizational domains. They use their experience and understanding to select appropriate datasets and apply appropriate analytical methods to create Machine Learning Models and Statistical Analyses to solve business problems. Data Scientists in this role develop production quality models that resolve a wide range of issues in creative ways that can be utilized by other departments and/or customers to forecast and plan more effective operations. Data Scientists at this level are recognized for their analytical creativity and understanding of advanced data science techniques and strategies such as Regression, clustering, decision trees, random forests, NLP, etc.
Key Responsibilities:
Develop production quality complex analytics and machine learning models where analysis of data requires the evaluation of a multitude of factors.
Participate in data science mentoring efforts.
Provides leadership for cross-functional projects and enterprise data and analytics solutions.
Effectively communicates and collaborates across groups to provide insights to the organization.
Collaborates and builds productive relationships with various internal and external departments to understand departmental issues and provides solutions to moderately complex problems.
Clarify business requests for assistance and document business requirements taking a broad perspective to identify solutions.
Devise possible solutions and plan solution development.
Enhance data collection procedures to include information that is relevant for building user solutions by processing, cleansing, and verifying the integrity of data used for analysis.
Carries out data mining using state-of-the-art methods.
Performs ad-hoc analysis and presenting results in a clear manner.
Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
Manages multiple large scale, end-to-end data science projects simultaneously.
Optimize joint development efforts through appropriate database use and project design.
Performs other duties as assigned.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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- Bachelors degree in computer science, mathematics, statistics, economics, finance, data science or other relevant quantitative field
- 3+ years' experience leading Data Science projects.
- Experience with creating project overviews and effort estimates.
- SQL and/or NOSQL experience.
- Experience building, tuning, and managing the creation of machine learning models for business applications including data cleansing, ordering and tagging (data wrangling).
- Experience with Machine Learning, Data Science algorithm visualization.
- Solid experience with data scripting languages such as Python, and R. Experience in SQL and data manipulation techniques.
- Solid understanding of Machine Learning techniques such as Regression, clustering, decision trees, random forests, NLP, etc.
- Functional knowledge of cloud platforms such as AWS.
- Functional knowledge of cloud platforms such as AWS and Azure
- Experience working with SAP data, preferably SAP HANA
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.