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Remote Data Optimization Jobs in Minnesota (NOW HIRING)

Senior Data Analyst - Remote

Duluth, MN · On-site +1

$91.70K - $163.70K/yr

Required Qualifications: * 3+ years SQL experience, including complex queries and optimization * Knowledge of data warehousing concepts * Proven problem-solving skills; the ability to systematically ...

New

Senior Data Analyst - Remote

Duluth, MN · Remote

$91.70K - $163.70K/yr

Required Qualifications: * 3 years SQL experience, including complex queries and optimization * Knowledge of data warehousing concepts * Proven problem-solving skills; the ability to systematically ...

New

Data Engineer

Minneapolis, MN · On-site +1

$105K - $135K/yr

... remote work when appropriate. Position Responsibilities: * Design, develop, and maintain robust ... optimization. * Implement and maintain CI/CD pipelines for data workflows, including automated ...

Genesis10 is currently seeking a Databricks Data Engineer for a Remote position with a Large Health ... Implement optimized data transformation logic using Spark SQL and DataFrame APIs. * Ensure ...

Remote Cost Accounting Manager

Minneapolis, MN · On-site +1

$99.20K - $128.90K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

Remote Cost Accounting Manager

Minneapolis, MN · On-site +1

$94.40K - $122.70K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

Remote Cost Accounting Manager

Saint Paul, MN · On-site +1

$96.10K - $124.90K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

Remote Cost Accounting Manager

Winona, MN · On-site +1

$92.10K - $119.70K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

Remote Cost Accounting Manager

Winona, MN · On-site +1

$92.10K - $119.70K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

Remote Cost Accounting Manager

Minneapolis, MN · On-site +1

$99.20K - $128.90K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

Remote Cost Accounting Manager

Minneapolis, MN · On-site +1

$99.20K - $128.90K/yr

This organization is in growth mode, investing heavily in modernization and process optimization ... Maintain and improve ERP data (Microsoft Navision and AS400 strongly preferred) * Document ...

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Remote Data Optimization information

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Minnesota? The most popular types of Data Optimization jobs in Minnesota are:
What are popular job titles related to Remote Data Optimization jobs in Minnesota? For Remote Data Optimization jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Minnesota look for? The top searched job categories for Remote Data Optimization jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Optimization jobs? Cities in Minnesota with the most Remote Data Optimization job openings:
Infographic showing various Remote Data Optimization job openings in Minnesota as of May 2026, with employment types broken down into 64% Full Time, 10% Part Time, 10% Temporary, and 16% Contract. Highlights an 100% Remote job distribution.
Data Scientist - Remote

Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Medical, Retirement

Posted 11 days ago


UnitedHealthcare rating

7.8

Company rating: 7.8 out of 10

Based on 651 frontline employees who took The Breakroom Quiz

102nd of 864 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together


This Data Scientist is the first of its kind and critical role for accelerating the AI agenda across UHC Consumer Operations. This position will report to the Sr Director Data AI Program Management, Governance and Data Integrity. This position combines data science with healthcare innovation, AI ethics, and regulatory compliance, providing a unique opportunity to help shape the future of AI applications in healthcare.


In this role, you will collaborate with cross-functional teams to refine AI methodologies, develop and validate robust testing protocols to identify potential model failures.  A successful candidate will interact with diverse teams using a wide variety of AI methods and validate test plans and results.  They will design and oversee testing and monitoring plans for novel use cases across a wide spectrum of types of AI and healthcare applications.  


The role will participate in UHG's external industry groups involve with AI policy. The role requires ability to write clear documentation on use-case specific testing requirements.  You will also engage with stakeholders to advocate for and drive the adoption of responsible AI practices, providing a unique opportunity to shape the future of ethical AI applications in healthcare.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Design and write new guidelines for AI testing and ongoing monitoring
  • Design and document improved testing methodologies, especially for novel use cases
  • Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML
  • Document findings, create reports related to KPOs, and present results to stakeholders
  • Develop job aids and guidance documentation for best practices of responsible AI
  • Help identify vulnerabilities related to PII/PHI exposure in AI interactions
  • Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work
  • Be in lock step with AI strategy counterpart in delivering against AI strategy and product vision and roadmap that is focused on company goals and consumer needs
  • Support AI program office, setting clear priorities, success metrics and cross functional alignment
  • Build and enforce consistent AI lifecycle management process (ideation, model development, testing, deployment, monitoring, retirement) including rinse and repeat playbook for AI Review Board (AIRB)
  • Enforce policies for data quality, lineage, accuracy and security across AI pipelines
  • Build in partnership with data engineering and platform teams best-in-class data models and maintenance programs to set the foundation for scalable AI growth
  • Establish data validating protocols to reduce the risk of integrity related incidents
  • Build, converge and deliver data API's that prevent data drift, model decay and data hygiene related risks
  • Design and oversee AI performance reporting dashboards covering accuracy, bias, fairness, operational health, real time anomaly detection and more
  • Establish and lead the AI incident management framework, including severity levels, response times and escalation protocols
  • Drive adoption of AI risk management practices
  • Support key priorities of increasing employee and management engagement by promoting Our United Culture and DEI concepts and activities with leaders and within the organization


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:

  • 8 years of experience in computer science, applied mathematics, applied statistics, linguistics or related quantitative fields
  • Experience in establishing data integrity and governance frameworks at scale
  • Extensive experience with advanced natural language processing models and clinical natural language processing, clinical de-identification, and clinical annotation
  • Deep understanding of AI ethics and fairness considerations
  • Proficiency in the full machine learning lifecycle including development, deployment, and monitoring
  • Proven solid analytical and problem-solving skills
  • Legally authorized to work in the US without any restrictions. Proof will be required.


Preferred Qualifications:

  • Experience collaborating with cross-functional teams including product managers and business stakeholders
  • Experience partnering with AI forward companies like Amazon, Google, Microsoft and the likes
  • Knowledge of large language models, conversational AI, prompt engineering, and adversarial testing
  • Familiarity with regulatory frameworks relevant to AI healthcare systems including claims payment and call centers
  • History of delivering production systems that include clinical natural language processing, sentiment analysis, text classification, medical/health informatics, clinical de-identification, and clinical annotation
  • Proven ability to translate business needs into technical solutions


*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 $91,700 to $163,700 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. #UHCAI10


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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