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Remote Data Science Jobs in Maine (NOW HIRING)

Gotham Biotech

Technical Support Agent

Portland, ME · Remote

$30 - $35/hr

This is a remote position. The Technical Support Agent plays a critical role in ensuring seamless ... Associate's degree or equivalent certification in IT, Computer Science, or related field (e.g ...

Wood Plc

Environmental Chemist

Portland, ME · On-site +1

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

IMCS Group

$59 - $73.25/hr

Mexico - Remote US Client Responsibilities Write requirements definitions and develop optimal ... design, data modeling and operational control procedures. Assist in developing project scope ...

Wood Plc

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

Arkatechture

Lead Analyst

Portland, ME · On-site +1

A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ... in Computer Science, Engineering, or a related field. * 8-10+ years of experience in data ...

NinjaOne

... data generation frameworks, standards, and optimization initiatives across the NinjaOne ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

WSP

Senior Substation Electrical Engineer - Remote

Hallowell, ME · On-site +1

$106K - $138K/yr

Work as an individual or as part of a cross-functional team of engineers, planners, scientific, and ... Prepare data and visualizations such as tables, charts, accurate reports, sketches, calculations ...

WSP

Senior Substation Electrical Engineer - Remote

Hallowell, ME · On-site +1

$106K - $138K/yr

Work as an individual or as part of a crossfunctional team of engineers, planners, scientific, and ... Prepare data and visualizations such as tables, charts, accurate reports, sketches, calculations ...

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All JobsRemote Data Science JobsRemote Data Science Jobs in Maine

Remote Data Science information

See Maine salary details

$21.9K

$97.5K

$186.1K

How much do remote data science jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote data science in Maine is $97,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,364.00 and $135,239.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Maine? The most popular types of Data Science jobs in Maine are:
What are popular job titles related to Remote Data Science jobs in Maine? For Remote Data Science jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Maine look for? The top searched job categories for Remote Data Science jobs in Maine are:
What cities in Maine are hiring for Remote Data Science jobs? Cities in Maine with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Maine as of June 2026, with employment types broken down into 2% As Needed, 70% Full Time, 21% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,503 per year, or $46.9 per hour.

Senior Software Engineer - Data Acquisition

eNett

Portland, ME • Remote

$121K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Key responsibilities

  • Build and maintain high-performance data acquisition pipelines that integrate with a variety of systems across WEX and third-party vendors.

  • Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.

  • Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.

Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

The Data Acquisition Team is the entry point to WEX's Data-as-a-Service (DaaS) platform-responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-party providers.

As a Senior Software Engineer, you'll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. You'll work across multiple data domains and ingestion patterns-batch, streaming, and event-driven-while ensuring quality, performance, and governance are embedded in every step.

WEX is undergoing a data platform transformation-and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains.

If you're passionate about scaling data platforms from the ground up, this is your chance to help shape how WEX ingests and leverages its most valuable asset: data.

What You'll Do

  • Build and maintain high-performance data acquisition pipelines that integrate with a variety of systems across WEX and third-party vendors.

  • Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.

  • Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.

  • Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements across business units.

  • Ensure traceability, lineage, and security through integration with control plane and governance systems.

  • Participate in code reviews, design sessions, and incident resolution-promoting high standards for code quality and operational reliability.

What You Bring

  • B.Sc. in Computer Science, Engineering, or related technical field; M.Sc. a plus but not required.

  • 4+ years of experience as a software engineer, ideally in high-volume or distributed systems environments.

  • Strong programming skills in Python, Java, Scala, or another systems-focused language.

  • Experience with data integration and ingestion pipelines-you understand what it means to bring data in from source systems, transform it, and deliver it reliably downstream.

  • Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.

  • AI-Augmented Productivity: Proficiency in using AI coding assistants (e.g., GitHub Copilot, Cursor, or Claude Dev) to accelerate the Software Development Life Cycle (SDLC), including automated unit test generation, refactoring, and documentation.

  • Specification-First Architecture: Deep understanding of specification-driven development. Ability to author and maintain rigorous technical specifications (using OpenAPI, AsyncAPI, or Protocol Buffers) that serve as the "source of truth" before implementation begins.

  • Prompt Engineering for Engineers: Ability to craft complex, context-rich prompts to solve architectural problems, debug legacy systems, and translate business requirements into technical scaffolds.

  • Familiarity with concepts like schema evolution, event-driven architectures, observability, and role-based access control.

  • A collaborative mindset-comfortable working across domains, products, and infrastructure layers.

  • A strong sense of ownership and accountability-you care deeply about building systems that last.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $121,500.00 - $145,500.00

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