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Associate Data Scientist Jobs in Maine (NOW HIRING)

R&D Associate Scientist

Saco, ME · On-site

$50K - $80K/yr

The R&D Associate Scientist will be responsible for maintaining lab inventory, ordering and ... May help to organize data, under the guidance of the lead scientist to assist in the interpretation ...

R&D Associate Scientist

Saco, ME · On-site

$50 - $80/hr

The R&D Associate Scientist will be responsible for maintaining lab inventory, ordering and ... May help to organize data, under the guidance of the lead scientist to assist in the interpretation ...

Data Product Manager

Scarborough, ME · On-site

$92.64 - $138.96/hr

Ahold Delhaize USA associates support the brands with a wide range of services, including Finance ... scientists, and business analysts). This role will own full life cycle Product strategy from ...

Professor of Africana

Lewiston, ME · On-site

$87 - $120/hr

From the Africana perspective we are interested in data science candidates whose research engages ... associate professor, or full professor level. The final salary offer will reflect the candidate ...

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Associate Data Scientist information

See Maine salary details

$55.7K

$65.9K

$124.9K

How much do associate data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for associate data scientist in Maine is $65,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $57,600.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Maine?

The most popular types of Data Scientist jobs in Maine are:

What are popular job titles related to Associate Data Scientist jobs in Maine?

For Associate Data Scientist jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Associate Data Scientist jobs in Maine look for?

The top searched job categories for Associate Data Scientist jobs in Maine are:

What cities in Maine are hiring for Associate Data Scientist jobs?

Cities in Maine with the most Associate Data Scientist job openings:

What are popular job titles related to Associate Data Scientist jobs in ME?

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

Infographic showing various Associate Data Scientist job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,875 per year, or $31.7 per hour.

Associate Scientist - Veterinary Scientific Advancement

The Jackson Laboratory

Bar Harbor, ME • On-site

$65K - $108K/yr

Full-time

Posted 5 days ago


Key responsibilities

  • Assist in the design, execution, and analysis of experiments under the guidance of senior researchers.

  • Conduct experiments, collect data, and assist in analyzing and interpreting results.

  • Maintain accurate records of experimental procedures, results, and observations in compliance with regulatory standards.


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

The Associate Scientist supports research initiatives within a scientific team, contributing to experiments, data analysis, and research documentation. This role involves conducting laboratory work, assisting in experimental design, and collaborating with senior scientists to achieve project objectives.

Key Responsibilities & Essential Functions

  • May assist in the design, execution, and analysis of experiments under the guidance of senior researchers.
  • Conduct experiments, collect data, and assist in analyzing and may interpret results using appropriate tools and methodologies.
  • Maintain accurate and detailed records of experimental procedures, results, and observations in compliance with regulatory standards.
  • Ensure proper maintenance of laboratory equipment, inventory management, and adherence to safety protocols.
  • Collaborate with cross-functional teams, effectively communicating experimental procedures, results, and insights.
  • May support senior scientists in reviews, experimental setup, and troubleshooting.
Knowledge, Skills, and Abilities
  • Hands-on experience in a laboratory setting, preferably in a research or academic environment.
  • Familiarity with laboratory techniques, instrumentation, and scientific methodologies related to the field.
  • Ability to collect, analyze, experimental data using appropriate software or statistical tools.
  • Strong attention to detail in conducting experiments, recording observations, and maintaining documentation.
  • Willingness to learn new techniques and adapt to changing research needs.
  • Ability to collaborate effectively within a team environment, contributing positively to collective goals.
  • Aptitude for troubleshooting experimental issues and proposing potential solutions.
  • Clear and concise communication skills for presenting findings and interacting with team members.

Education: Master's required/ Doctorate preferred

Experience: 2 years required/ 4 years preferred

Pay Range: $65,018 - $108,857, salary is determined by experience.

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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