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Remote Amazon Data Science Jobs in Spring Hill, FL

Data Engineer - Healthcare

Tampa, FL ยท Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of ... Bachelor's degree in Computer Science, Engineering, or equivalent experience Preferred Experience

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... This executive serves as the primary bridge between Claims Operations, Technology, Data Science ...

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... in data engineering, knowledge representation, or graph databases * Deep expertise in Amazon ...

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Domain Expert - (STEM PhD)

Tampa, FL ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

AI Senior Product Manager

Tampa, FL ยท Remote

$119K - $157K/yr

Collaborate closely with engineering, data science, design, and marketing teams throughout the ... Strong commitment to Professional Collaboration and Teamwork. #LI-KS1 #LI-Remote The Compensation ...

Salesforce Developer (Remote Opportuntity)

Tampa, FL ยท Remote

$52.50 - $69.50/hr

Perform data imports, exports, updates, and migrations using Data Loader and the Data Import Wizard ... Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related ...

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Showing results 1-20

Remote Amazon Data Science information

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

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What job categories do people searching Remote Amazon Data Science jobs in Spring Hill, FL look for? The top searched job categories for Remote Amazon Data Science jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Remote Amazon Data Science jobs? Cities near Spring Hill, FL with the most Remote Amazon Data Science job openings:

Product Owner, Applied Intelligence

Avalon Administrative Services LLC

Tampa, FL โ€ข Remote

Full-time

Re-posted 20 days ago


Job description

About Avalon Healthcare Solutions:

Avalon Healthcare Solutions is the nationโ€™s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Our proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments. Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Our flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics supportโ€”driving measurable value, reduced waste, and improved clinical outcomes. With unmatched scientific rigor, deep clinical expertise, and a performance-based model, Avalon is redefining how diagnostics power personalized care and healthcare value. You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve.

For more information about Avalon, please visit https://www.avalonhcs.com.

Avalon Healthcare Solutions is an Equal Opportunity Employer - Vet/Disability.

This position description is subject to change at any time. As determined by the company based upon business needs, an employee in this position may be required to perform duties and take responsibility for work other than as described in this document.

About the Product Owner, Applied Intelligence position:

The Product Owner, Applied Intelligence is responsible for translating business needs into scalable, data-driven and AI-enabled product capabilities. This role sits at the intersection of product, data science, and engineering - owning the delivery of intelligent features, models, and automation that enhance decision-making, operational efficiency, and customer value.

This individual will actively engage business stakeholders across the organization to surface opportunities, shape priorities, and build shared understanding of AI/ML capabilities โ€” while partnering with data scientists and engineers to bring use cases from concept to production in a reliable, compliant, and impactful way.

This position is eligible for remote work, but quarterly travel will be required to Avalonโ€™s corporate office located in Tampa, Florida.

Product Owner, Applied Intelligence โ€“ Essential Functions and Responsibilities:

  • Own and manage the product backlog for Applied Intelligence initiatives, including AI/ML models, analytics products, and automation solutions.
  • Lead ongoing backlog refinement sessions with cross-functional stakeholders to ensure priorities reflect current business needs, not just engineering capacity.
  • Translate business problems into clear user stories, acceptance criteria, and prioritized work for engineering and data science teams.
  • Partner with Engineering and Data teams in agile delivery, ensuring timely and high-quality releases.
  • Continuously refine and reprioritize backlog based on business impact, performance insights, and stakeholder feedback.
  • Proactively engage business stakeholders to identify and validate high-value opportunities for AI/ML and advanced analytics.
  • Support the development of use cases such as predictive modeling, decision support, anomaly detection, and workflow automation.
  • Act as the primary liaison between business teams and technical teams.
  • Drive structured discovery and prioritization processes with stakeholders.
  • Communicate progress, risks, and outcomes to stakeholders at all levels.
  • Partner with data engineering teams to ensure availability, quality, and accessibility of data.
  • Define and track KPIs for AI-driven features and drive continuous improvement.

Product Owner, Applied Intelligence โ€“ Minimum Qualifications:

  • Bachelorโ€™s degree
  • 4โ€“8 years of experience in product management, product ownership, or business analysis with exposure to data, analytics, or AI/ML-driven products.
  • Experience working in agile environments with cross-functional teams.
  • Healthcare or health-tech experience required.
  • Strong ability to translate complex business problems into structured product requirements.
  • Working knowledge of AI/ML concepts and machine learning workflows.
  • Excellent communication and stakeholder management skills.
  • Analytical mindset with a focus on outcomes and measurable impact.

Product Owner, Applied Intelligence โ€“ Preferred Qualifications:

  • Experience at a private equity-backed growth stage company