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Freelance Python Data Analysis Jobs in Iowa (NOW HIRING)

Berkshire Hathaway Energy

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

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 ...

Tractor Zoom

Be Seen First

Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

There is significant room for you to develop models and analytics ranging from time-series ... Python preferred) * Proven experience deploying, testing, and monitoring models at an enterprise ...

Pwc

GenAI Python Systems Engineer-Manager

Des Moines, IA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Align Technology, Inc.

$26.25 - $35/hr

Ability to write basic SQL queries; familiarity with data analysis concepts. Experience with Python or similar programming languages is a plus. * Documentation: Experience supporting or creating ...

Berkshire Hathaway Energy

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

The sr data scientist is a member of the Data and Analytics Information Technology team, having a ... Advanced proficiency in Python and/or R, with extensive experience using standard libraries for ...

Berkshire Hathaway Energy

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

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 ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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Freelance Python Data Analysis jobs near you
Data Science Lead

Data Science Lead

Berkshire Hathaway Energy

Des Moines, IA • On-site

$121K - $146K/yr

Full-time

Posted 10 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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