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

These talented individuals, many of whom have specialized engineering or scientific expertise ... The role is a remote position; location base will be reviewed as this position covers all regions ...

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Bachelor's degree in Computer Science, Engineering, or a related field. * 7-12 years of software ...

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Bachelor's degree in Computer Science, Engineering, or a related field. * 7-12 years of software ...

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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 Jul 16, 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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:
Infographic showing various Remote Data Science job openings in Portland, ME as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $103,513 per year, or $49.8 per hour.
Vice President of Finance - JAX Mice and Clinical Research Services

Vice President of Finance - JAX Mice and Clinical Research Services

The Jackson Laboratory

Portland, ME • Remote

$260K - $375K/yr

Full-time

Posted 23 days ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

28th of 105 rated laboratories


Job description

Reporting to the Senior Vice President and Chief Financial Officer, the Vice President of JAX Mice Clinical and Research Services (JMCRS) Finance serves as an integral member of the senior JMCRS team. The Vice President of JMCRS Finance is responsible for the development of the JMCRS financial management strategy and contributes to the development of the JMCRS strategic goals. In addition to strategic components, the Vice President of JMCRS Finance is charged with developing and implementing policies and procedures related to JMCRS financial operations.

This role is remote based, with travel.

  • Advises the SVP & CFO, the President of JMCRS, and other senior leaders on financial planning, budgeting, cash flow, investment priorities, and policy matters related to JMCRS operations.

  • Serves as the JMCRS liaison to key stakeholders and groups on financial matters related to JMCRS operations and strategic priorities.

  • Maintains continuous lines of communication, keeping the SVP & CFO and President, JMCRS informed of all critical issues.

  • Directs and performs financial modeling of JMCRS operations, strategic proposals, and capital investment projects, including large and complex new initiatives.

  • Works collaboratively with JMCRS business and functional leaders to develop and monitor budgets, forecasts, and financial, product innovation, commercial, and operating metrics that support solid execution of business plans, routine performance, and strategic priorities.

  • Upgrades and implements an appropriate system of procedures, internal controls, and accounting standards.

  • Assists the President, JMCRS in ensuring adherence to strategic plans and delivering status reports as necessary, including for Town Halls and Board meetings.

  • Provides analytical support, including development of internal management reporting capabilities, to support best practices and drive continuous improvement.

  • Advances operational improvement across the business by driving and implementing innovative, data-driven solutions that deliver meaningful productivity gains year-over-year.

  • Oversees, directs, and organizes the work of the JMCRS finance team.

  • Promotes a culture of high performance and continuous improvement that values learning and a commitment to quality.

  • Ensures staff members receive timely and appropriate training and development.

  • Establishes and monitors staff performance and development goals, assigns accountabilities, sets objectives, and establishes priorities.

  • Performs other related duties as assigned.

Required experience:

  • Business or accounting degree required; master's in business administration preferred; CPA preferred.

  • Minimum 10 years of experience in a senior management role ideally with in-house financial management experience gained in a product manufacturing organization.

  • Experience establishing key performance indicators to inform performance evaluations and incentive plans, sales forecasting including sales commission plans.

  • Experience with acquisitions and divestitures, conducting related due diligence exercises and forming recommendations and action plans.

  • Proven track record of success facilitating progressive organizational change and development within a growing organization.

  • Superior management skills; ability to influence and engage direct and indirect reports and peers. Strong mentoring, coaching experience.

  • Flexible, collaborative and proactive; a team leader who can positively and productively impact both strategic and tactical finance and operational initiatives.

  • Exceptional written, oral, interpersonal, and presentation skills and the ability to effectively interact with senior leadership, board members, and staff.

  • Ability to travel including weekends and holidays, when required.

  • Location for this job is remote, with preference to north east locations.

This search is being led by a third party search firm. Qualified resumes will be forwarded for their review.

Pay Range: $260,572 - $375,502 based on years or related experience, location and internal 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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