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Remote Data Scientist Jobs in Ellsworth, ME (NOW HIRING)

Remote Data Scientist information

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$37.4K

$122.3K

$195.7K

How much do remote data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data scientist in Ellsworth, ME is $122,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,500.00 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.

What are the most commonly searched types of Data Scientist jobs in Ellsworth, ME?

The most popular types of Data Scientist jobs in Ellsworth, ME are:

What cities near Ellsworth, ME are hiring for Remote Data Scientist jobs?

Cities near Ellsworth, ME with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Ellsworth, ME as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,259 per year, or $58.8 per hour.

Director Business Data Governance & Stewardship

The Jackson Laboratory

Ellsworth, ME • Remote

$136K - $228K/yr

Full-time

Re-posted 25 days ago


The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 120 rated laboratories


Job description

The Director of Business Data Governance & Stewardship is a strategic and collaborative leader responsible for the development and execution of enterprise-wide data governance strategies focused on commercial, operational, and administrative data. This position is responsible for ensuring the accuracy, integrity, accessibility, and stewardship of core business data assets such as customer, product, vendor, employee, and financial data and will work closely with cross-functional teams to build consensus and implement governance frameworks across departments with shared data responsibilities.

This role is fully remote with travel as needed

Key Responsibilities (What you contribute):

  • Establish and lead enterprise-wide data governance policies, hierarchies, roles, and responsibilities for operational data domains.

  • Build and support a matrixed team of data stewards across commercial and operational departments.

  • Serve as a central point of coordination for data governance initiatives.

  • Partner with internal stakeholders to co-develop and implement master data management (MDM) strategies.

  • Facilitate shared ownership and accountability for data quality and stewardship across commercial and operational business units.

  • Align governance efforts with enterprise goals, ensuring that data policies support - not disrupt - commercial and business operations.

  • Lead efforts to centralize stewardship practices while respecting and reinforcing departmental ownership of data.

  • Establish clear accountability mechanisms and service-level agreements (SLAs) for data management in collaboration with data-owning offices.

  • Support the selection, implementation, and optimization of MDM platforms and data governance tools.

  • Monitor and improve data accuracy, consistency, and completeness across enterprise systems.

  • Develop shared metrics and dashboards to track data quality and stewardship performance.

  • Enable departments and work units to leverage high-quality data for reporting, analytics, and decision-making.

  • Collaborate with analytics teams to ensure data governance supports business intelligence efforts.

  • Ensure adherence to data privacy regulations (e.g., GDPR, CCPA) and internal data handling policies.

  • Work with HR, Legal, and Compliance teams to define appropriate access controls and permissions.

  • Apply Lean principles to streamline data-related processes and reduce inefficiencies.

  • Identify opportunities for continuous improvement in data governance practices.

  • Document policies and procedures and train stakeholders on governance expectations and KPIs.

  • Foster a culture of shared responsibility, transparency, and data-driven decision-making.

Knowledge, Skills, and Abilities (What you're good at):

  • Bachelor's degree required, Master's degree is preferred

  • Minimum of 6 to 8 years of experience required

  • Proven ability to lead cross-functional initiatives and build consensus across stakeholders.

  • A.I. knowledge and experience utilizing and implementing

  • Strong understanding of MDM platforms, data quality frameworks, and compliance requirements.

  • Extensive experience with multiple enterprise CRM & ERP Platforms. Familiarity with HRIS, QMS, and/or Financial Accounting platforms.

  • Excellent leadership, communication, problem-solving, facilitation, and stakeholder engagement skills.

  • Ability to translate data insights into meaningful business recommendations.

  • Experience with Lean or Six Sigma methodologies is a plus.

  • Ability to travel as necessary up to 20%

Pay Range: $136,461 - $228,467 based on total years of related experience and internal pay equity considerations

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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