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

... Architects, Engineers, & Scientists, Remediation Engineers, Chemists, Data Visualization ... Wood will consider employment for this position from locations remote to Portland, Maine) Key ...

Software Engineer

Portland, ME · On-site +1

$90K - $100K/yr

Remote Compensation: $90,000 - $100,000 / year Description Why Work Here? At Arkatechture, we have ... Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company ...

Water Resources Engineer

Portland, ME · Remote

$80K - $110K/yr

... Remote Skills / Qualifications Required Qualifications: * Bachelor or Masters of Science in ... Data Development in support of FEMA Risk MAP program * Experience with HEC-RAS, HEC-HMS, and ArcGIS

Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company ... A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ...

Bachelor's degree in Business Administration, Computer Science, or a related technical field ... Hands on knowledge of scripting as well as data manipulation and export/import functionality.

Bachelor's degree in Business Administration, Computer Science, or a related technical field ... Hands on knowledge of scripting as well as data manipulation and export/import functionality.

... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ... Strong fundamental scientific and engineering skills for the evaluation of experimental data

Showing results 21-40

Remote Data Scientist information

See Portland, ME salary details

$38.4K

$125.6K

$201K

How much do remote data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data scientist in Portland, ME is $125,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $139,100.00 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.

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

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

What are popular job titles related to Remote Data Scientist jobs in Portland, ME?

For Remote Data Scientist jobs in Portland, ME, the most frequently searched job titles are:

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

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

Infographic showing various Remote Data Scientist job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,613 per year, or $60.4 per hour.

Associate Director, IT Service Management & Process - Remote

The Jackson Laboratory

Portland, ME • Remote

$113K - $190K/yr

Full-time

Posted 10 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

22nd of 121 rated laboratories


Job description

Associate Director, IT Service Management & Process - Remote

Shape how IT works at JAX-modernizing ServiceNow, strengthening enterprise IT practices, and building the processes that make technology simpler, more resilient, and more effective.

The Associate Director, IT Service Management & Process, leads JAX's IT service management platform and process governance functions. The role owns the ServiceNow platform; the ITSM/ITIL framework and process design across the IT organization; the Configuration Management Database CMDB); Agile/DevOps process maturity; Disaster Recovery and core IT process governance; and the enterprise vendor & third-party risk program.

Key Responsibilities & Essential Functions

  • Own the ServiceNow platform, including strategy, roadmap, administration, integrations, upgrades, and vendor management.
  • Drive platform adoption, automation, self-service, and continuous improvement across IT.
  • Own and mature JAX's ITSM/ITIL framework and core processes, including incident, request, change, problem, knowledge, and service-level management.
  • Establish clear process ownership, performance measures, and continuous improvement across IT.
  • Own the CMDB and configuration management strategy, standards, data quality, and integrations.
  • Ensure accurate service and configuration data supports effective IT operations, risk management, and decision-making.
  • Lead IT Disaster Recovery and business continuity planning, governance, and testing.
  • Partner with technology and business owners to maintain recovery requirements, address gaps, and ensure organizational readiness.
  • Lead the technology vendor and third-party risk program, including risk assessment, onboarding, monitoring, and offboarding.
  • Partner with Security, Procurement, Legal, Compliance, and business owners to identify and manage third-party risks.
  • Establish and improve IT processes, standards, controls, metrics, and reporting across the organization.
  • Partner with technology teams to mature Agile/DevOps practices, simplify processes, increase automation, and support regulatory and audit requirements.
  • Drive knowledge management, training, and adoption of consistent IT practices.
  • Lead and develop the ITSM & Process team and manage the function's budget, vendors, and priorities.
  • Serve as a key partner to IT leadership, driving cross-functional alignment, accountability, service quality, and continuous improvement.

Knowledge, Skills, and Abilities

  • Demonstrated experience designing, implementing, governing, and continuously improving enterprise ITSM/ITIL processes.
  • Significant experience with ServiceNow or a comparable enterprise service-management platform, including platform governance, administration, implementation, workflow design, integrations, and roadmap management.
  • Demonstrated experience architecting, implementing, or managing an enterprise CMDB and configuration management capability.
  • Experience with Disaster Recovery, technology business continuity, and recovery testing.
  • Experience establishing or operating technology vendor and third-party risk management processes.
  • Experience developing operational KPIs, service-level measures, dashboards, and management reporting.
  • Demonstrated ability to lead complex cross-functional initiatives where accountability spans multiple technology teams.
  • Strong analytical, organizational, communication, facilitation, and stakeholder-management skills.
  • Demonstrated commitment to customer experience, service quality, and continuous improvement.
  • ITIL/ITSM certification preferred; ServiceNow administration/implementation and business-continuity (e.g., CBCP) credentials a plus.
  • Bachelor's degree in Computer Science, Information Systems, or a related field required.Master's degree preferred.
  • Minimum of 5 years of relevant professional experience required; 7 or more years of progressive experience preferred.
  • Minimum of 5 years of supervisory or people leadership experience required; 7 or more years of leadership experience preferred.

Pay range: $113,718 - $190,388

#CA-EH8

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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