2

Remote Data Science Certificate Jobs in Minnesota

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Relevant cloud, AI/ML, DevOps, or platform engineering certifications * Actively shapes our company ...

New

... certifications. In addition to your pay, Target cares about and invests in you as a team member, so ... Join our global in-house technology team of more than 5,000 engineers, data scientists, architects ...

Showing results 41-60

Remote Data Science Certificate information

What is a remote data science certificate?

A Remote Data Science Certificate is a credential earned by completing a data science program that is delivered entirely online. These programs typically cover key topics such as statistics, programming, machine learning, and data analysis, allowing students to learn at their own pace from any location. Upon completion, graduates receive a certificate that can help demonstrate their skills and knowledge to employers in the data science field. Remote certificates are ideal for those who need flexibility due to work or personal commitments.

What are some common challenges faced when pursuing a remote data science certificate while balancing work or other commitments?

Pursuing a Remote Data Science Certificate often requires strong time management skills, as balancing coursework with work or personal responsibilities can be challenging. Students may face difficulties staying motivated without in-person interaction and managing multiple deadlines for projects and assignments. To overcome these challenges, it’s helpful to establish a consistent study routine, actively participate in online forums, and seek support from instructors or peers. Many programs also offer flexible pacing to accommodate different schedules, which can make balancing commitments more manageable.

What are the key skills and qualifications needed to thrive as a data scientist working remotely, and why are they important?

To thrive as a remote Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a relevant degree or data science certification. Familiarity with programming languages like Python or R, machine learning frameworks, and cloud-based data platforms is essential. Excellent communication, self-motivation, and time management distinguish outstanding remote professionals in this field. These skills ensure you can independently analyze data, derive insights, and effectively collaborate with distributed teams to drive data-driven decisions.

What is the difference between Remote Data Science Certificate vs Remote Data Analyst?

AspectRemote Data Science CertificateRemote Data Analyst
Required CredentialsCertificate programs, foundational data science skillsOften a degree in statistics, mathematics, or related field
Work EnvironmentProject-based, research, and development teamsBusiness intelligence, reporting, and data interpretation
Industry UsageTech, finance, healthcare, and research sectorsRetail, marketing, finance, and consulting firms
Search & Comparison IntentLearning pathways, certification programsJob roles, responsibilities, skills required

The Remote Data Science Certificate provides foundational knowledge and certification for those entering data science roles, often focusing on programming, machine learning, and statistical analysis. In contrast, a Remote Data Analyst typically focuses on interpreting data, creating reports, and supporting business decisions. While both roles work with data, the certificate prepares individuals for more technical, development-oriented tasks, whereas data analysts focus on data visualization and reporting within business contexts.

Can I work remotely as a data scientist?

Yes, data scientists can often work remotely, especially with skills in programming, data analysis, and tools like Python, R, and cloud platforms. Many companies offer remote data science roles, requiring strong communication and collaboration skills to work effectively from home.

Is a remote data science certificate worth it?

A remote data science certificate can enhance your skills in areas like machine learning, statistics, and programming, and may improve job prospects by demonstrating your knowledge to employers. However, practical experience and a strong portfolio are also important for securing data science roles. The value depends on the program's quality and how you leverage the certification in your job search.

What can I do with a remote data science certificate?

A remote data science certificate can qualify you for roles such as data analyst, data scientist, or machine learning engineer, often requiring skills in programming, statistics, and data visualization tools like Python, R, or SQL. It demonstrates foundational knowledge and can help you access job opportunities that involve analyzing data, building models, and supporting decision-making in various industries. The certificate can also enhance your resume for remote work environments and may be a stepping stone toward advanced data science positions.

What are the most commonly searched types of Data Science Certificate jobs in Minnesota?

The most popular types of Data Science Certificate jobs in Minnesota are:

What are popular job titles related to Remote Data Science Certificate jobs in Minnesota?

For Remote Data Science Certificate jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Certificate jobs in Minnesota look for?

The top searched job categories for Remote Data Science Certificate jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Data Science Certificate jobs?

Cities in Minnesota with the most Remote Data Science Certificate job openings:

Senior Product Manager, (Payer/Provider )Network Strategy & Optimization - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$129K - $170K/yr

Full-time

Retirement

Re-posted 23 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 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.

The Senior Product Manager - Network Optimization is responsible for owning the strategy, prioritization, and execution of the Network Optimization module within the Value Connect platform. This role focuses on capabilities that optimize provider networks across access, cost, quality, and performance, enabling payers and providers to make data-driven network decisions.

This role partners closely with engineering, data science, network operations, actuarial, clinical, and business stakeholders to translate complex network performance and cost-of-care challenges into scalable, analytics-driven product capabilities. The Senior Product Manager operates with strong technical and analytical product acumen, driving disciplined execution across discovery, delivery, and optimization while aligning to broader Value Connect platform strategy.

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:

  • Network Optimization Product Strategy
    • Owns the product vision and strategy for the Network Optimization module within Value Connect
    • Defines clear product-level goals, problem statements, and outcome-based success measures tied to network cost, access, and performance
    • Identifies and prioritizes optimization use cases such as network adequacy, steerage, leakage reduction, provider performance, and cost efficiency
    • Partners with network, actuarial, and clinical stakeholders to ensure solutions align to real-world network management workflows
    • Incorporates customer, market, and competitive insights to inform product tradeoffs and sequencing decisions
  • Roadmap Ownership, Prioritization & Delivery
    • Owns the end-to-end product roadmap and backlog for the Network Optimization module
    • Drives prioritization across the Product Development Roadmap, Product Backlog, and Sprint Backlog based on value, feasibility, and risk
    • Ensures delivery sequencing maximizes measurable financial impact, operational efficiency, and customer adoption
    • Partners with engineering and data science to define and track OKRs tied specifically to network optimization outcomes
    • Monitors delivery progress and recommends scope or sequencing adjustments to maintain focus on highest-impact optimization capabilities
  • Technical Product Leadership & Data Alignment
    • Serves as the primary product partner to engineering and data science teams delivering network optimization analytics and workflows
    • Translates optimization use cases into clear functional requirements, data needs, and acceptance criteria
    • Ensures alignment to Value Connect data models, analytics standards, and architectural patterns
    • Identifies opportunities to reuse data assets, analytics, and workflows across Value Connect modules
    • Balances near-term delivery with long-term scalability, performance, explainability, and data quality
  • Agile Execution & Operational Excellence
    • Applies agile product management best practices to drive predictable, high-quality delivery of optimization capabilities
    • Reinforces a shared Definition of Done for analytics-driven features and insights
    • Uses agile product development tools to manage roadmaps, dependencies, and delivery metrics
    • Partners with delivery leadership on capacity planning and sequencing across analytics and engineering workstreams
    • Identifies execution risks related to data availability, model readiness, or integration dependencies and drives mitigation plans
  • Customer Outcomes & Product Performance
    • Owns success metrics for the Network Optimization module, including financial impact, adoption, usability, and operational performance
    • Ensures the right optimization problems are being solved through continuous discovery, testing, and validation
    • Partners with internal and external customers to validate network optimization insights and workflows
    • Drives continuous improvement of optimization capabilities based on performance data and customer feedback
    • Provides transparent reporting on product outcomes, learnings, and tradeoffs to stakeholders
  • Cross-Functional Collaboration & Influence
    • Collaborates closely with engineering, data science, network operations, actuarial, clinical, and business teams
    • Communicates product decisions, tradeoffs, and progress related to the Network Optimization module to senior stakeholders
    • Anticipates cross-module dependencies and proactively addresses alignment challenges within Value Connect
    • Navigates competing priorities through data-driven, customer-centric decision-making

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:

  • 10 years overall experience in healthcare, technology, or analytics-driven product environments
  • 5 years in product management roles supporting complex, data-driven products
  • 5 years of experience in network management, provider relations, or network development for payer and/or provider organizations
  • 5 years of experience with healthcare network analytics, cost-of-care analytics, or value-based care analytics domains for payer and/or provider organizations
  • Proven experience leading highly matrixed, cross-functional initiatives
  • Experience prioritizing complex backlogs involving data, analytics, and workflow enablement
  • Proven solid expertise in technical and analytics-driven product management
  • Proven ability to translate network, actuarial, and clinical concepts into scalable product capabilities
  • Proven expertise in agile product development tools and delivery models
  • Proven ability to drive adoption and measurable impact from analytics-driven products

*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 $112,700 - $193,200 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.


What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom