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Performance Science Jobs in Iowa (NOW HIRING)

Berkshire Hathaway Energy

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

... performance/SLA dashboards, and rollback procedures. Build and maintain scalable, secure data ... Mentor and coach data scientists and engineers; conduct design reviews and provide technical ...

Berkshire Hathaway Energy

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

... science to improve business processes, optimize operations, and drive revenue growth. Collaborate with stakeholders across the organization, including Performance Engineering, Asset Performance, and ...

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Performance Science information

What is the difference between Performance Science vs Sports Scientist?

AspectPerformance ScienceSports Scientist
Required CredentialsDegree in exercise science, sports science, or related fields; certifications in performance or strength coachingDegree in sports science, exercise physiology, or related fields; certifications in sports performance
Work EnvironmentResearch labs, athletic training facilities, performance centersSports teams, athletic clubs, research institutions
Employer & Industry UsageUsed by sports organizations, research institutions, and performance centersCommonly employed by sports teams, universities, and sports medicine clinics

Performance Science and Sports Scientist roles overlap in credentials and work environments, but Performance Science often emphasizes research and data analysis to optimize athletic performance, while Sports Scientists focus more on direct athlete testing and training programs. Both roles are vital in sports performance but differ slightly in scope and application.

What is the highest paid job in sports science?

The highest paid jobs in sports science are often senior roles such as Director of Sports Science or Head of Performance, which can earn six-figure salaries. These positions typically require advanced degrees, extensive experience, and leadership skills, often working with professional or elite athletes and teams.

What is performance science?

Performance science is an interdisciplinary field that studies the factors influencing high-level performance in areas such as sports, the arts, business, and other domains. It combines insights from psychology, physiology, neuroscience, and other disciplines to understand and improve how individuals and teams perform under various conditions. Performance scientists often work to enhance training methods, optimize mental and physical preparation, and develop strategies for achieving peak performance. Their work can involve research, coaching, and collaboration with professionals to implement evidence-based practices.

What does a performance scientist do?

A performance scientist studies and applies scientific principles to improve human performance, often working with athletes, military personnel, or corporate clients. They analyze data, develop training protocols, and use tools like biomechanics, physiology, and psychology to optimize physical and mental capabilities.

What are the key skills and qualifications needed to thrive as a Performance Scientist, and why are they important?

To thrive as a Performance Scientist, you typically need a strong background in exercise science, physiology, data analysis, and often a related degree such as sports science or kinesiology. Familiarity with performance monitoring tools, data collection software, and certifications like CSCS (Certified Strength and Conditioning Specialist) are commonly required. Excellent communication, problem-solving, and collaboration skills help you translate data into actionable insights for athletes and coaches. These skills are crucial for optimizing athletic performance, preventing injuries, and supporting evidence-based training decisions.

What is the highest paying job in exercise science?

In exercise science, the highest paying roles are often sports medicine physicians, exercise physiologists with advanced certifications, or performance directors in professional sports organizations, with salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized certifications, and extensive experience in clinical or high-performance settings.

What are some typical challenges faced by professionals working in Performance Science, and how can they be addressed?

Professionals in Performance Science often encounter challenges such as translating complex data into actionable insights for athletes or teams, managing the expectations of coaches and stakeholders, and staying current with evolving technologies and research. Addressing these challenges requires strong communication skills, continuous professional development, and the ability to work collaboratively within multidisciplinary teams. Building trust with athletes and staff and presenting data in a clear, practical manner are also key to ensuring that scientific recommendations are successfully implemented.

What is the highest paying job in sports?

In sports, the highest paying roles are often executive positions such as team owners, general managers, or high-level sports executives, with some earning millions annually. Top athletes, especially in sports like basketball, football, and golf, also earn substantial salaries and endorsement deals, but executive and management roles typically have the highest overall compensation in the industry.
What are popular job titles related to Performance Science jobs in Iowa? For Performance Science jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Performance Science jobs in Iowa look for? The top searched job categories for Performance Science jobs in Iowa are:
Performance Science jobs near you
Data Science Lead

Data Science Lead

Berkshire Hathaway Energy

Des Moines, IA • On-site

$121K - $146K/yr

Full-time

Posted 7 days 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

Responsibilities
Collaborate with business stakeholders to identify high-value use cases that improve operational efficiency, customer experience, reliability, safety, and sustainability across electric and gas operations. Translate use cases into technical roadmaps, quantifiable KPIs, and delivery plans. Design, develop, and deploy machine learning models (predictive, optimization, time-series, NLP). Perform exploratory data analysis, feature engineering, and model validation. Lead AI solution engineering using Azure OpenAI Service (LLMs), retrieval-augmented generation (RAG) with Azure Cognitive Search/Vector stores, prompt design, grounding with authoritative utility data, and guardrail policies. Build production-grade AI microservices/APIs, orchestration, and monitoring on Azure, including hallucination mitigation, content filtering, and responsible AI checks. Establish end-to-end MLOps/LLMOps pipelines, automated testing, blue/green rollouts, drift detection, model performance/SLA dashboards, and rollback procedures. Build and maintain scalable, secure data pipelines to ingest, transform, and curate data from different systems. Partner with data engineers and architects to uphold data quality, lineage, governance (Unity Catalog), and security across the Azure ecosystem. Communicate findings and operational insights via Power BI dashboards and narrative data products, enabling decision-makers in operations, planning, supply chain, and customer service. Contribute to best practices, reusable accelerators (feature stores, pipeline templates, model cards), code standards, and knowledge sharing within the Data & Analytics community of practice. Mentor and coach data scientists and engineers; conduct design reviews and provide technical oversight for complex initiatives. Ensure solutions align with utility regulatory, cybersecurity, and privacy requirements, and with corporate Responsible AI and model risk management policies. Partner with Security/Legal to complete risk assessments and approvals; incorporate auditability, explainability, and human-in-the-loop controls.
Qualifications
Master's degree or foreign equivalent in Data Science, Computer Science, Artificial Intelligence, Mathematics or related field.
3 years of experience with the following:
Data science
Data Modeling and Machine Learning modeling, or analytics
Azure Machine Learning
Azure Data Factory
Azure Databricks
Azure DevOps
Azure AI Foundry
Power BI
Programming with Python and PySpark
SQL
Working with large-scale datasets time series and Advanced Metering Data
Git
Agile
Working in the gas and/or electric utility industry; operational systems and data domains including AMI/MDM, OMS/SCADA/EMS, asset management, and market operations.
2 years of experience working with Large Language Models to develop Retrieval Augmentation Generation Systems.
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.

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