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Remote Data Science 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 ...

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

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 ...

Proofreading Assistant

Portland, ME · Remote

$28 - $32/hr

This is a remote position. Summary: The Proofreading Assistant at Gotham Biotech plays a vital role ... Verify factual accuracy of data, dates, and statistics within documents. * Contribute to the ...

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Remote Data Science information

See Portland, ME salary details

$23.3K

$103.5K

$197.5K

How much do remote data science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote data science in Portland, ME is $103,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,469.00 and $143,575.00 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.
What are the most commonly searched types of Data Science jobs in Portland, ME? The most popular types of Data Science jobs in Portland, ME are:
What are popular job titles related to Remote Data Science jobs in Portland, ME? For Remote Data Science jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Portland, ME look for? The top searched job categories for Remote Data Science jobs in Portland, ME are:
What cities near Portland, ME are hiring for Remote Data Science jobs? Cities near Portland, ME with the most Remote Data Science job openings:
Bioinformatics Engineer II (Remote/East Coast)

Bioinformatics Engineer II (Remote/East Coast)

Parse Biosciences

Portland, ME • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

WHO WE ARE

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.

THE PRODUCT

We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health.

The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!

THE POSITION

As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.

YOU CAN EXPECT

  • An agile, diverse and multidisciplinary team.
  • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.
  • A place to look at things differently, challenge and offer solutions.
  • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.
  • A fast-paced environment of continuous improvement, optimised for impact.

IN THIS POSITION, YOU WILL

This position is for full time, 100% remote work. We would expect you to:

  • Always put the user first.
  • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.
  • Continuously iterate and improve existing single cell pipelines and features.
  • Receive and incorporate feedback from customers and colleagues.
  • Perform troubleshooting of customer analyses.
  • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.
  • Experiment, test, try, fail and learn continuously.
  • Think like an owner, and take pride in your work.
  • Help and mentor teammates.

FOR THIS POSITION, WE LOOK FOR

  • Someone excited about building tools that will be used by thousands of single cell researchers.
  • A track record of designing, building and improving data analysis software that solves user problems.
  • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.
  • Fluent in Python and R.
  • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.
  • Competency working with container-based cloud applications, ideally on AWS.
  • Strong data visualization skills.
  • Significant experience in conducting code reviews and providing feedback to others.
  • Experience and desire to work as part of a close-knit team.
  • Experience using version control systems such as Git/GitHub is preferred.
  • Proficiency building pipelines with Nextflow or similar frameworks is preferred.
  • Experience of integrating AI tools into development workflows is preferred.
  • Knowledge of and/or interest in web development is preferred.
  • Experience working with Bash is preferred.

JOB CONDITIONS

  • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.
  • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
  • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents.
  • A 401(k) program with no waiting period to participate
  • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse.
  • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses
  • A transportation program (Seattle only)
  • 12 paid holidays annually and a winter holiday break
  • A generous time off policy
Market Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
$100,000—$135,000 USD