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Data Science Jobs in Portland, ME (NOW HIRING)

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Data Science information

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$38.4K

$125.6K

$201K

How much do data science jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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 Data Science jobs in Portland, ME? For Data Science jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Portland, ME look for? The top searched job categories for Data Science jobs in Portland, ME are:
What cities near Portland, ME are hiring for Data Science jobs? Cities near Portland, ME with the most Data Science job openings:
Data Science jobs near you
Infographic showing various 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 $125,576 per year, or $60.4 per hour.
Engineering/Science Postdoctoral Fellow

Engineering/Science Postdoctoral Fellow

Northeastern University

Portland, ME • On-site

$50K - $68K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

About the Opportunity
About the Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high-growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Job Summary
The Postdoctoral Research Associate will engage in both fundamental and applied research in the field of advanced manufacturing, with direct relevance to aerospace lightweighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands-on laboratory investigations.
Key responsibilities include generating high-impact scientific publications and technical reports, contributing to additive manufacturing workforce development programs, and mentoring undergraduate and graduate students engaged in related projects. The Fellow will work in close collaboration with Professor Andrew Neils on the Roux Institute's Engineering team at both the Portland, ME and Brunswick, ME campuses.
This position will support several projects funded by the U.S. Department of Defense. Background checks and other clearances may apply.
Minimum Qualifications
Required
  • Ph.D. earned in mechanical engineering, materials science, physics, or a closely related discipline.
  • Demonstrated expertise in the characterization and testing of crystalline materials, including metals and ceramics.
  • Strong background in additive manufacturing processes and the mechanics of materials.
  • Ability to work both independently and as part of a multidisciplinary team.

Preferred
  • Familiarity with data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning.

Key Responsibilities & Accountabilities
1. Initiate, Execute, and Complete Advanced Manufacturing Related Research and Training Programs (50%)
  • Design and execute experimental investigations into process-structure-property relationships for advanced engineering materials (e.g., high temperature refractory alloys and their coatings).
  • Develop curriculum and deliver hands-on cold spray additive manufacturing training and lab technician instruction as part of active Department of Defense workforce development programs.
  • Operate cold spray additive manufacturing systems, with occasional contributions to powder bed fusion and directed energy deposition programs.
  • Collect process and property data and develop data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python.
  • Develop physics-based computational models (e.g., finite element analysis) to complement and contextualize experimental findings.
  • Apply CAD tools such as ANSYS and SolidWorks to produce geometric models for experimental specimens, including metamaterial and lattice structures as needed.

2. Prepare and Write Technical Reports and Manuscripts for Peer Review (25%)
  • Lead technical writing of sponsored program reports.
  • Lead or contribute to three or more peer-reviewed publication submissions per year.

3. Mentoring, Collaboration, and Support (25%)
  • Mentor and train undergraduate and graduate students.
  • Support Roux Engineering team proposal development.
  • Perform lab management duties as needed.
  • Support Roux external industry and academic collaborations.
About the Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
108S
Expected Hiring Range:
$60,315.00 - $85,192.50
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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