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Remote Data Scientist Jobs in Encinitas, CA (NOW HIRING)

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

... Fisher Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for ...

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

... Fisher Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for ...

Easy Recruiter

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

... Best Remote-First Places to Work . Firstup believes in the power of data to produce great business results, and were looking for a senior data analyst who can help us do just that. Firstup has a ...

HealthCorps

Monitoring & Evaluation Intern

San Diego, CA · Remote

Current undergraduate or graduate student studying public health, data science, social sciences, or ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Work with executives, product managers, machine learning scientists, and engineers to understand ...

Apex Informatics

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Preferred Qualifications * BS or MS in Engineering/ Computer Science * Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage. * Knowledge of infrastructure as ...

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Showing results 21-40

All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Encinitas, CA

Remote Data Scientist information

See Encinitas, CA salary details

$40.3K

$131.8K

$211.1K

How much do remote data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data scientist in Encinitas, CA is $131,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

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The most popular types of Data Scientist jobs in Encinitas, CA are:

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For Remote Data Scientist jobs in Encinitas, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Data Scientist jobs in Encinitas, CA are:

What cities near Encinitas, CA are hiring for Remote Data Scientist jobs?

Cities near Encinitas, CA with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Encinitas, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,832 per year, or $63.4 per hour.

Sr Staff AI Architect

Thermo Fisher Scientific

Carlsbad, CA • On-site, Remote

$143K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 428 frontline employees who took The Breakroom Quiz

175th of 543 rated manufacturers

Job description

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
This is a remote role open in the US only.
What will you do?
The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions are scalable, secure, reusable, and aligned with enterprise standards across GenAI, analytics, and intelligent automation initiatives.
This is a strategic role balancing architecture leadership with practical execution guidance
Key Responsibilities
  • Define enterprise architecture patterns for GenAI (RAG, agents, orchestration frameworks), Data platforms (lakehouse/warehouse architectures) and API/microservices-based integrations
  • Establish standards for scalability, reliability, cost optimization, and observability.
  • Lead governance for AI systems, including data privacy and compliance.
  • Create reusable frameworks and reference architectures for squads.
  • Conduct architecture reviews and risk assessments.
  • Guide cloud infrastructure design and infrastructure as code strategies.
  • Partner with leadership to shape long term AI and data strategy.

Required Qualifications:
  • 7+ years of experience in enterprise data and AI architecture.
  • Deep expertise in cloud platforms (AWS/Azure).
  • Strong understanding of modern data architectures (lakehouse, streaming, data governance).
  • Proven experience designing enterprise GenAI architectures.
  • Experience defining security, access control, and compliance frameworks.
  • Strong influencing and stakeholder management skills.

Good to have skills
  • Experience with Databricks, Dataiku or vector databases.
  • Knowledge of CRM/ERP integration architecture.
  • Background in supply chain or commercial analytics ecosystems.
  • Experience architecting enterprise RPA (UiPath) platforms.
  • Knowledge of Intelligent Process Automation (IPA) frameworks combining AI + RPA.

Education
Bachelor's or master's degree in computer science, Engineering, Data Science, or equivalent experience.
Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Compensation and Benefits
The salary range estimated for this position based in California is $143,000.00-$185,000.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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