Data Scientist 1/2/3 or Sr

This is a multi-level posting. Candidates may be considered for any of the posted levels 14, 15, 16 or 17, depending on their level of experience and depth of expertise.

We are seeking a skilled and motivated Data Scientist to join our growing Data & Analytics team at MidAmerican Energy company. This role is instrumental in driving data-driven decision-making across the organization, with a strong focus on leveraging Microsoft Azure as the core data and analytics platform. The ideal candidate will have a passion for solving complex business problems using data science techniques and cloud-native tools.

- Collaborate with business stakeholders to identify opportunities for data science solutions that improve operational efficiency, customer experience, and sustainability.

- Design, develop, and deploy machine learning models and advanced analytics solutions using Azure Machine Learning, Azure Databricks, and related services.

- Build and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure-native tools.

- Perform exploratory data analysis, feature engineering, and model validation using Python or similar languages.

- Work closely with data engineers and architects to ensure data quality, governance, and security across the Azure ecosystem.

- Communicate findings and insights through compelling visualizations and dashboards using Power BI.

- Contribute to the development of best practices, reusable assets, and knowledge sharing within the data science community of practice.

- Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)

- Master’s in data science or related technical field preferred.

- Eighteen months of work and/or internship experience required for level 1. Primarily in a data science, modeling or administration role preferred.

- A minimum of three years of additional directly-related experience is required for the level 2.

- Five years of related work experience, primarily in a data science, modeling and administration role for level 3.

- Six years of related work experience, primarily in a data science, modeling and administration role for Sr level.

- Hands-on experience with Microsoft Azure services, including:

- Azure Machine Learning

- Azure Data Factory

- Azure Databricks

- Azure DevOps

- Proficiency in Python similar programming languages.

- Strong SQL skills and experience working with large-scale data sets.

- Experience with version control (e.g., Git) and Agile development practices.

- Excellent communication and collaboration skills.

- Proven experience working in the utility industry is required

- Effective oral and written communication skills, with the ability to collaborate across teams and mentor junior engineers.

- Strong analytical and problem-solving abilities.

- Ability to prioritize and manage multiple tasks and projects concurrently.

Employees must be able to perform the essential functions of the position, with or without accommodation.

All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.

MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.