Source description
About the role
Sr Data Scientist
Des Moines, IA, United States and 1 more
Trending
Job Description
The sr data scientist is a member of the Data and Analytics Information Technology team, having a critical role in supporting the BHE (Berkshire Hathaway Energy) business transformations and asset performance management initiatives. The data scientist assists BHE business groups in translating business problems into technical and data requirements and participates in other Data and Analytics center of excellence initiatives. This position works with information technology teams across the company to extract, transform, validate and load data into data lake and analytics software systems including Microsoft Azure and Microsoft Power BI. This individual contributes to model development, model testing, production support, data validation and data integrity efforts in the course of daily work.
Provides Support to the Following Positions
Enterprise Analytics (IT), Berkshire Hathaway Energy,
Asset Performance and Investment Management, Berkshire Hathaway Energy,
Data Analytics Center of Excellence, Berkshire Hathaway Energy
Responsibilities
-
Mentor and support a team of data scientists by providing technical guidance and thought leadership to ensure successful project execution, while fostering a collaborative and innovative team environment.
-
Demonstrated experience in team leadership, project planning and management, and stakeholder engagement.
-
Partner with Product Owners to lead end‑to‑end data science initiatives, from problem definition and data exploration through model development, validation, and deployment.
-
Apply advanced statistical and machine learning techniques to analyze complex datasets, uncover meaningful patterns, and develop predictive and prescriptive models.
-
Contribute to the company’s data strategy by identifying opportunities to leverage data science to improve business processes, optimize operations, and drive revenue growth.
-
Collaborate with stakeholders across the organization, including Performance Engineering, Asset Performance, and Transmission & Distribution, to understand data needs and deliver solutions aligned with business objectives.
-
Stay current with advancements in data science, machine learning, and GenAI technologies; evaluate and help implement new tools, algorithms, and frameworks to enhance team capabilities.
-
Ensure high‑quality documentation practices, including narrative documentation in wikis and technical documentation in version‑controlled repositories.
-
Operate within an agile environment that supports iterative development and continuous delivery.
-
Communicate effectively with both technical and non‑technical audiences across multiple platforms, including meetings, chat, email, and video conferencing.
-
Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email.
Qualifications
-
Bachelor's degree in computer science, mathematics, software engineering or a related technical field. Master's in data science or related technical field preferred.
-
Eight or more years of experience in data science, with a proven track record of leading and delivering successful data science projects
-
Demonstrated hands‑on experience designing and building data science proof‑of‑concepts and working with data from multiple sources, including relational databases, APIs, and modern data platforms (e.g., Delta tables), using SQL, PySpark, and Python.
-
Advanced proficiency in Python and/or R, with extensive experience using standard libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikit‑learn, caret, tidymodels), and data visualization (e.g., seaborn, ggplot2).
-
Established expertise in at least one core data science domain, such as supervised learning, time‑series analysis, or survival modeling, with the ability to apply these techniques to complex, real‑world business problems.
-
Proven experience productionizing advanced analytics and machine learning models, including transitioning solutions from development to operational and production environments.
-
Strong practical foundation in descriptive and inferential statistics, including hypothesis testing, confidence intervals, correlation analysis, and related statistical methods.
-
Hands‑on experience with enterprise data visualization tools (Power BI preferred) and at least one cloud‑based data platform (Azure and Databricks preferred).
-
Excellent verbal and written communication skills, with the ability to clearly communicate technical concepts, analytical results, and recommendations to both technical and non‑technical stakeholders across multiple levels of the organization.
-
Strong leadership and interpersonal skills, with the ability to work independently, collaborate effectively within a team, and influence outcomes without direct authority.
-
Demonstrated initiative and resourcefulness, with the ability to navigate ambiguity, prioritize work effectively, and deliver results with limited guidance in a fast‑changing environment.
-
Experience working in cross‑functional team environments, partnering with engineering, product, and business stakeholders to deliver data‑driven solutions.
-
Preferred experience with Spark, Azure DevOps, and MLOps practices.
About Us
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.
About the Team
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.
Apply Now
Job Info
- Job Identification10004571
- Job CategoryInformation Technology
- Posting Date06/27/2026, 05:03 PM
- Apply Before07/30/2026, 08:00 PM
- Job ScheduleFull time
- Job ShiftDay
- Locations1615 Locust St, Des Moines, IA, 50309, US7155 Lindell Rd, Las Vegas, NV, 89118, US
- Pay Range117,400-146,700
- SponsorshipYes
- BusinessMidAmerican Energy Company
Similar Jobs
We use cookies to offer you the best possible website experience. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies.Learn more
Accept CookiesDecline Cookies
Are You Still With Us?
It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.
End SessionContinue Working
Work Summary
This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.
DiscardAdd Summary
Page Sr Data Scientist - BHE Career Site Careers loaded
Personal Job Assistant
Ask Me Something
More at Berkshire Hathaway Energy
Related open roles
Software Engineer 2
United States
System Protection & Controls Director
United States
Associate LNG Technician (Instrumentation)/LNG Technician (Instrumentation)/Sr LNG Technician (Instrumentation)
United States
Sr Data Engineer
United States · Onsite
Analytics & BI Specialist 1
United States · Onsite
Analytics & BI Spclst 3 or Sr
United States · Onsite