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Director Data Science Jobs in Iowa (NOW HIRING)

ACT Science Tutor

Iowa City, IA · Remote

$18 - $40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

ACT Science Tutor

Ames, IA · Remote

$18 - $40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... science, data governance, and AI. This leader is accountable for defining and executing enterprise AI strategy, driving high-impact AI solutions, and building a responsible AI program, all in direct ...

... Director, you will be responsible for leading and advancing Continental Western Group's (CWG ... Extensive experience in analytics, actuarial science, data science, or related roles within the ...

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Showing results 1-20

Director Data Science information

See Iowa salary details

$50.7K

$145.5K

$229.2K

How much do director data science jobs pay per year?

As of Jun 28, 2026, the average yearly pay for director data science in Iowa is $145,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $178,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

Is 40 too late for data science?

For a Data Science Director role, age is not a barrier; many professionals transition into data science or advance to leadership roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis, regardless of age.

How much does a director of data science make in the US?

A director of data science in the US typically earns between $130,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, industry, company size, and location, and the role usually requires advanced skills in machine learning, data analysis, and leadership.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer or Director of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and leadership responsibilities.

What does a director of data science do?

A director of data science oversees data science teams, develops strategic plans for data analysis, and ensures the implementation of data-driven solutions to support business goals. They often manage projects involving machine learning, statistical modeling, and data infrastructure, requiring strong leadership and technical skills. The role typically involves collaboration with other departments and may require experience with tools like Python, R, and cloud platforms.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the most commonly searched types of Data Science jobs in Iowa? The most popular types of Data Science jobs in Iowa are:
What job categories do people searching Director Data Science jobs in Iowa look for? The top searched job categories for Director Data Science jobs in Iowa are:
What cities in Iowa are hiring for Director Data Science jobs? Cities in Iowa with the most Director Data Science job openings:
Infographic showing various Director Data Science job openings in Iowa as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,467 per year, or $69.9 per hour.
Sr Data Scientist

Full-time

Posted 15 hours ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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

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.

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 handson experience designing and building data science proofofconcepts 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., scikitlearn, caret, tidymodels), and data visualization (e.g., seaborn, ggplot2).

Established expertise in at least one core data science domain, such as supervised learning, timeseries analysis, or survival modeling, with the ability to apply these techniques to complex, realworld 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.

Handson experience with enterprise data visualization tools (Power BI preferred) and at least one cloudbased 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 nontechnical 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 fastchanging environment.

Experience working in crossfunctional team environments, partnering with engineering, product, and business stakeholders to deliver datadriven solutions.

Preferred experience with Spark, Azure DevOps, and MLOps practices.

  • 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 endtoend 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 highquality documentation practices, including narrative documentation in wikis and technical documentation in versioncontrolled repositories.

    Operate within an agile environment that supports iterative development and continuous delivery.

    Communicate effectively with both technical and nontechnical 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.

What Berkshire Hathaway Energy employees say

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