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

Wood Plc

Environmental Chemist

Portland, ME · On-site +1

... Architects, Engineers, & Scientists, Remediation Engineers, Chemists, Data Visualization ... Coordination with Junior and/or Senior Chemist on a daily basis * Support project teams completing ...

Wood Plc

Senior Hydrogeologist

Portland, ME · On-site

... Chemists, Data Visualization Specialists are what make us known in the Industry and drive our ... Leading, mentoring and working with a team of scientist and other professionals, including junior ...

Reli Group Inc

Power BI Intern

Portland, ME · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

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All JobsData Science JobsData Science Junior JobsData Science Junior Jobs in Portland, ME

Data Science Junior information

See Portland, ME salary details

$35.3K

$81.2K

$130.4K

How much do data science junior jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data science junior in Portland, ME is $81,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $83,400.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 Junior jobs in Portland, ME?

For Data Science Junior jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Data Science Junior jobs in Portland, ME look for?

The top searched job categories for Data Science Junior jobs in Portland, ME are:

What cities near Portland, ME are hiring for Data Science Junior jobs?

Cities near Portland, ME with the most Data Science Junior job openings:

Data Science Junior jobs near you
Infographic showing various Data Science Junior job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $81,186 per year, or $39 per hour.

Jr. Data Scientist 00021

Westbrook, ME • On-site

West Coast Consulting
IT Services • 51 - 200 employees
Learn more about West Coast Consultingexternal

$45 - $48/hr

Full-time

Medical, Life

Re-posted 21 days ago

Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications

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