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Entry Level Data Science Jobs in Maine (NOW HIRING)

Nova Analytic Labs LLC

Lab Technologist

Portland, ME

$20 - $24/hr

\n \n \n Nova Analytic Labs is seeking a highly motivated entry level scientist to join our cannabis ... Responsible for data entry of samples in the lab \n * Responsible for understanding and following ...

Nova Analytic Labs

Lab Technologist

Portland, ME · On-site

$20 - $24/hr

... scientific methods. As a startup, we are particularly interested in individuals with well-rounded ... This is an entry level job opportunity to assist with daily lab tasks, sample pickup, sample ...

Unum

Actuarial Assistant

Portland, ME · On-site

General Summary:This is generally an entry-level position; however, incumbent must be a highly ... Prepare and analyze intermediate level data for use in actuarial experience studies, valuation or ...

Unum

Actuarial Assistant

Portland, ME · On-site

General Summary:This is generally an entry-level position; however, incumbent must be a highly ... Prepare and analyze intermediate level data for use in actuarial experience studies, valuation or ...

All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Maine

Entry Level Data Science information

See Maine salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for entry level data science in Maine is $18.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.72 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
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 Entry Level Data Science jobs in Maine? For Entry Level Data Science jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Maine look for? The top searched job categories for Entry Level Data Science jobs in Maine are:
What cities in Maine are hiring for Entry Level Data Science jobs? Cities in Maine with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Entry-Level Geologist / Environmental Scientist

Entry-Level Geologist / Environmental Scientist

Wood Plc

Portland, ME

Other

Posted 6 days ago

Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is currently seeking Entry-Level Geologists and Environmental Scientists to join our teams in Portland, ME, Rocky Hill, CT, and Bayside Queens, NY.  For this position we expect to train the successful applicant in appropriate field methods and procedures and therefore prior experience or training is not required, although still a positive.  Wood will also provide required OSHA health and safety training prior to field work. That person will gain experience in writing work plans, analyzing and evaluating environmental data and assisting with report preparation for submittal to our clients and regulatory agencies.

Key Responsibilities:

  • Oversee soil borings and groundwater monitoring well installations, collect soil, groundwater, surface water, sediment, air, and soil gas samples, collect data in complex field situations with supervision, and document field activities
  • Perform other field exploration, inspection, testing, and analyses using equipment and instrumentation
  • Prepare components of site investigation reports including work plans, data summaries, calculations, tables, figures, charts, drawings and report text
  • Collect samples and data during remedies and pilot studies from soil and groundwater remediation systems
  • Assist Project Managers and project teams, ensuring effective client communication and relations
  • Organize field work, assign tasks, and work with other staff specialists and technicians to complete assignments
  • Follow company safety policies and procedures, site safety standards, and permit requirements 
Skills / Qualifications

Requirements:

  • BS or BA in Geology, Environmental Science or Engineering, or related technical field
  • Strong writing skills
  • Effective verbal communication skills

Physical Demands:

  • Ability to remain on feet for extended periods of time either stationary or walking
  • Field activities may require working in unfavorable weather conditions, including heat and cold
  • Ability to lift 50 pounds
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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