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Python Pandas Remote Jobs in Minnesota (NOW HIRING)

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Experience using Python for geospatial process automation * Ability to leverage Arcade in ArcGIS ...

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask ...

Python Pandas Remote information

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

To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.

What are some common challenges faced by remote Python Pandas developers and how can they be addressed?

Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.

What is the difference between Python Pandas Remote vs Data Analyst?

AspectPython Pandas RemoteData Analyst
Required SkillsPython, Pandas, SQL, data manipulationExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, tech-focused companiesOffice or remote, various industries
CertificationsPython certifications, data analysis coursesData analysis, Excel, Tableau certifications
Industry UsageTech, finance, e-commerceFinance, marketing, healthcare

Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.

What are Python Pandas Remote jobs?

Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What are the most commonly searched types of Python Pandas jobs in Minnesota? The most popular types of Python Pandas jobs in Minnesota are:
What are popular job titles related to Python Pandas Remote jobs in Minnesota? For Python Pandas Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Pandas Remote jobs in Minnesota look for? The top searched job categories for Python Pandas Remote jobs in Minnesota are:
What cities in Minnesota are hiring for Python Pandas Remote jobs? Cities in Minnesota with the most Python Pandas Remote job openings:
Sr AI ML/Engineer - Remote Nationwide or Hybrid in MN/DC

Sr AI ML/Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$120K - $214K/yr

Full-time

Retirement

Posted 28 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 880 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

As a Senior AI/ML Engineer within the Optum Tech UHC Technology division supporting UHC Operations and Experience, you will play a critical role in transforming the healthcare landscape. You will collaborate with cross-functional teams to design, build, and deploy production-ready AI and Machine Learning systems that enhance member experience and optimize operations. Leveraging advanced tools and frameworks such as Python, Databricks, LangChain, LangGraph, and Azure, you will build agentic solutions and intelligent automated workflows to solve some of healthcare's most complex problems. This is an exciting opportunity to apply generative AI and deep learning to deliver scalable, real-world impact.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule withfour in-office days per week.
 

Primary Responsibilities:

  • Design, develop, and deploy production-grade AI/ML models, agentic workflows, and pipelines using Python, Databricks, and Azure
  • Build, test, and optimize state-of-the-art LLM applications and complex reasoning systems using orchestration frameworks like LangChain and LangGraph
  • Use enterprise-approved AI tools to streamline development workflows, automate repetitive engineering tasks, and drive continuous improvement
  • Collaborate with research, engineering, and product teams to translate business requirements and complex analytics into reusable, production-ready capabilities
  • Evaluate emerging AI/ML trends, tools, and methodologies to inform strategic technical choices and platform innovation
  • Design and implement scalable data engineering pipelines, feature engineering systems, and automated validation frameworks
  • Uphold responsible AI principles by embedding fairness, security, transparency, and accountability throughout the model development lifecycle

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree or equivalent experience (e.g., 4 years of additional software development or AI/ML engineering experience)
  • 4 years of software engineering or data science experience, with a core focus on designing, developing, and deploying AI/ML systems in production environments
  • 3 years of professional experience programming with Python and its data science ecosystem (e.g., NumPy, Pandas, Scikit-learn)
  • 2 years of experience utilizing cloud-based platforms and big data frameworks (such as Databricks and Microsoft Azure)
  • 1 years of experience building applications with Large Language Models (LLMs) and orchestration frameworks (e.g., LangChain or LangGraph)
  • Demonstrated experience with database systems (SQL/NoSQL) and standard software engineering practices (version control, CI/CD, testing)

Preferred Qualifications:

  • Master's or PhD degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
  • Experience with advanced deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP/NLU techniques (e.g., intent classification, semantic understanding)
  • Experience in the healthcare industry, particularly working with claims, clinical data, or member services
  • Experience implementing robust MLOps practices, model monitoring, and drift detection mechanisms
  • Proven excellent verbal and written communication skills with the ability to present complex technical concepts to non-technical stakeholders and leadership

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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