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Remote Meta Data Science Jobs in Windsor Locks, CT

IQVIA

Data Analytics Analyst II

Hartford, CT · Remote

$56K - $140K/yr

... life sciences industry. IQVIA possesses the largest and most comprehensive set of healthcare data ... A willingness or ability to travel as needed ( This is a remote / WFH role open to candidates ...

The Hartford

Sr Agile Product Owner

Hartford, CT · On-site +1

$116K - $174K/yr

Experience with data & analytics products, cloud technologies, data governance, data science, and ... Remote work schedule. Candidates who live near one of our office locations will have the ...

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All JobsMeta Data Science JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Windsor Locks, CT

Remote Meta Data Science information

See Windsor Locks, CT salary details

$36.5K

$119.4K

$191.1K

How much do remote meta data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote meta data science in Windsor Locks, CT is $119,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,300.00 per year, depending on experience, location, and employer.

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

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote meta data science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a remote meta data scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

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

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
Remote Meta Data Science jobs near you
Infographic showing various Remote Meta Data Science job openings in Windsor Locks, CT as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,387 per year, or $57.4 per hour.

Sr. Underwriting Strategy Analyst - Remote Opportunity

GuideOne Insurance

Hartford, CT • On-site, Remote

$81K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

The Senior Underwriting Strategy Analyst supports the Director of Underwriting Strategy in driving portfolio performance, optimizing underwriting, and advancing strategic initiatives across the underwriting lifecycle. This role blends analytics, underwriting expertise, and cross-functional leadership to improve risk selection, profitability, and operational efficiency.
Accountabilities:
Underwriting Strategy & Portfolio Management
  • Support development and execution of underwriting strategies aligned to growth, profitability, and risk appetite goals
  • Analyze portfolio performance trends (loss ratio, hit rate, retention, pricing adequacy) and recommend actionable improvements
  • Monitor underwriting guidelines and identify opportunities for refinement based on emerging experience and market dynamics
  • Assist in segmentation strategies to optimize risk selection and pricing precision

Data Analysis & Insights
  • Conduct advanced data analysis to identify drivers of loss, profitability, and underwriting performance
  • Develop dashboards, scorecards, and reporting frameworks for leadership visibility
  • Partner with actuarial, data science, and finance teams to evaluate pricing models and assumptions
  • Translate complex data into clear, actionable recommendations for underwriting leadership

Underwriting Governance & Execution
  • Support governance frameworks including referral processes, authority structures, and underwriting controls
  • Perform audits and quality assurance reviews to ensure adherence to underwriting guidelines
  • Identify process gaps and recommend enhancements to improve consistency and decision quality

Cross-Functional Collaboration
  • Partner with Product, Actuarial, Claims, Distribution, and Operations to align strategy and execution
  • Contribute to product development, coverage enhancements, and market positioning initiatives
  • Support field underwriting teams with insights, tools, and strategic guidance

Process Improvement & Transformation
  • Identify and lead initiatives to streamline underwriting workflows and reduce friction
  • Support automation, digitization, and decision-support tool development
  • Drive continuous improvement in underwriting efficiency and scalability

Strategic Projects
  • Lead or support high-impact initiatives such as:
    • New program or segment launches
    • Profitability remediation strategies
    • Expansion into new markets or distribution channels
  • Prepare executive-level presentations and strategic recommendations

Skills & Requirements
Qualifications:
Required
  • Bachelor's degree in Finance, Economics, Risk Management, Data Analytics, or related field
  • 5+ years of experience in underwriting, underwriting strategy, or analytics within insurance
  • Strong understanding of underwriting principles, pricing dynamics, and risk selection
  • Advanced analytical skills (Excel, SQL, or similar tools; Tableau/Power BI preferred)
  • Demonstrated ability to translate data into business strategy

Preferred
  • Experience in commercial lines
  • Exposure to predictive modeling, pricing analytics, or portfolio optimization
  • Project management experience leading cross-functional initiatives
  • Professional designations (CPCU, ARM, ACAS/FCAS, etc.)

Core Competencies
  • Strategic thinking and problem-solving
  • Strong business and financial acumen
  • Executive communication and storytelling
  • Collaboration and stakeholder influence
  • Detail orientation with a results-driven mindset

Pay Range:
Anticipated Hiring Range:
  • $81,000 - $130,000 commensurate with experience

Get to Know GuideOne:
At GuideOne, we believe that our people are our greatest asset, and we foster a sense of collaboration among our team members so they can learn from and inspire one another to deliver excellence in risk solutions and services to our customers. For more than 75 years, we've established a reputation as a trusted partner in the communities where we live and work, and with our steadfast commitment to help make positive change possible, we're excited to see what we can accomplish during the next 75. Explore our values and culture, and learn why GuideOne might be a great fit for you!
GuideOne is proud to offer a robust benefits suite that includes:
  • Competitive base salary plus incentive plans for eligible team members.
  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary.
  • Free Basic Life and AD&D, long-term disability and short-term disability insurance.
  • Medical, dental and vision plans to meet your unique healthcare needs.
  • Wellness incentives
  • Generous time off program including; personal, holiday, and volunteer paid time off.
  • Flexible work schedules and hybrid/remote options for eligible positions.
  • Educational assistance program.

#GuideOne

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