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Remote Sentiment Analysis Jobs in Minnesota (NOW HIRING)

... user sentiment * Use Systems Query Language (NQL) to analyze trends, identify root causes, and ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

... user sentiment * Use Systems Query Language (NQL) to analyze trends, identify root causes, and ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Remote Sentiment Analysis information

What are some common challenges faced by professionals working in remote sentiment analysis roles, and how can they be managed?

One of the main challenges in remote sentiment analysis roles is maintaining accuracy across diverse datasets, especially when interpreting nuanced language or cultural context. Working remotely can also make collaboration with team members and quick feedback loops more difficult. To overcome these issues, professionals often use collaborative platforms for regular communication, participate in ongoing training to stay updated on language trends, and rely on standardized annotation guidelines to ensure consistency. Being proactive in seeking feedback and sharing insights with the team greatly enhances both individual and project performance.

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

To thrive as a Remote Sentiment Analyst, you need a background in linguistics, data analysis, and a strong understanding of natural language processing (NLP), often supported by a degree in a related field. Familiarity with sentiment analysis tools, machine learning platforms, and data visualization software is typically required. Strong attention to detail, critical thinking, and effective written communication help analysts interpret nuanced data and present findings clearly. These skills are essential for accurately assessing sentiment in large data sets and driving actionable insights for business or research objectives.

What is remote sentiment analysis?

Remote sentiment analysis is the process of evaluating and interpreting the emotional tone behind text data, such as social media posts, customer reviews, or emails, while working from a remote location. Professionals in this field use natural language processing (NLP) tools and machine learning algorithms to identify opinions, attitudes, or emotions expressed in written content. This information helps businesses understand customer feelings, improve products, and enhance marketing strategies. Remote sentiment analysts often collaborate with teams online and use cloud-based platforms to access and analyze large datasets. The role requires strong analytical skills, attention to detail, and proficiency with relevant software.

What is the difference between Remote Sentiment Analysis vs Remote Data Labeling Specialist?

AspectRemote Sentiment AnalysisRemote Data Labeling Specialist
Required CredentialsBasic data analysis, NLP knowledgeData annotation, labeling tools familiarity
Work EnvironmentRemote, tech companies, AI/ML projectsRemote, AI/ML, data preparation teams
Industry UsageAI, NLP, customer feedback analysisMachine learning training data creation
Common Search IntentUnderstanding sentiment analysis rolesComparing data labeling jobs

Remote Sentiment Analysis involves evaluating text data to determine sentiment, often requiring NLP skills. Remote Data Labeling Specialists focus on annotating data for machine learning models, including sentiment labels. While both roles support AI development, sentiment analysis emphasizes interpreting data, whereas data labeling involves preparing data. Candidates should consider their skills and career goals when choosing between these roles.

What job categories do people searching Remote Sentiment Analysis jobs in Minnesota look for? The top searched job categories for Remote Sentiment Analysis jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Sentiment Analysis jobs? Cities in Minnesota with the most Remote Sentiment Analysis job openings:
Principal AI/ML Engineer - Remote

Principal AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$164K/yr

Full-time

Retirement

Posted 19 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 890 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.

Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

Optum AI team members:

  • Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
  • Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
  • Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities

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:

  • Lead data science work conceptualizing, designing, developing, and maintaining AI/ML models for disease progression/patient engagement programs
  • Meet with business partners to understand requirements and design solution(s) which work best for the problem
  • Review AI/ML model ideas, engineering designs and offer ideas for new approaches
  • Develop and evolve Data Science and Engineering roadmap for disease progression and patient engagement programs
  • Raise the bar on excellence in execution in terms of quality, timeliness, and scalability
  • Collaborate with counterparts in other Geographical locations to ensure smooth execution of critical projects across the board
  • Recommend applicable technical patterns and solutions that are aligned with architectural guiding principles and standards through a regular cadence of delivery and continuous improvement initiatives
  • Collaborate closely with Product and Capability Architects on aligning inferred Solutions and Enterprise architecture to granular technical patterns and solutions
  • Govern technical debt and promote balance

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:

  • MS degree in Computer Science or related field
  • 7 years of experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Databricks and Azure AI Services

Preferred Qualifications:

  • Ph.D. in Computer Science or related field
  • 10 years of data science experience
  • Knowledge of advanced statistical techniques and concepts and experience with applications
  • Proven solid problem-solving skills with an emphasis on model development and engineering
  • Proven outstanding communication skills both written and verbal
  • Knowledge of a variety of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks

*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 $164,615 to $282,197 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.

#optumaiscience

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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