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

The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior ...

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

... science solutions across various industries while gaining exposure to production systems and modern AI practices. Responsibilities : โ€ข Perform data cleaning, exploratory data analysis (EDA), and ...

Data Scientist

Portland, ME ยท On-site

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Data Scientist - FCRM

Portland, ME ยท On-site

$96K - $155K/yr

Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

... science programming environments such as Python/Pandas/PySpark. Ability to create new complex SQL data queries Focused Experience with doing data sourcing, manipulation, analysis and modeling.

New

Master Data Analyst Location: : Scarborough, Maine Duration: 12 Months - 100% Onsite role. Skills Looking For: * Data Management experience; SAP experience * Creating new parts in SAP (Part number ...

In this role, you will focus on executing applied data science work-running analyses, supporting experiments, and mining data to uncover drivers and patterns that inform how the business supports its ...

In this role, you will focus on executing applied data science work-running analyses, supporting experiments, and mining data to uncover drivers and patterns that inform how the business supports its ...

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Data Analyst Data Science information

See Portland, ME salary details

$34.8K

$84.5K

$139.1K

How much do data analyst data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst data science in Portland, ME is $84,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
Infographic showing various Data Analyst Data Science job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,550 per year, or $40.6 per hour.

Data Scientist

Northeastern University

Portland, ME โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior professionals in the field.
Responsibilities:
โ€ข Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
โ€ข Train, evaluate, and compare machine learning models under supervision.
โ€ข Assist with model validation, performance monitoring, and documentation.
โ€ข Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
โ€ข Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
โ€ข Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
โ€ข Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
โ€ข Masterโ€™s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
โ€ข 0โ€“2 years of industry, research, or applied project experience in data science or machine learning.
โ€ข Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
โ€ข Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
โ€ข Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
โ€ข Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
โ€ข Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
โ€ข Working knowledge of SQL and relational databases.
โ€ข Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
โ€ข Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
โ€ข Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
โ€ข Willingness to participate in client meetings in a supporting role.
โ€ข Awareness of ethical AI principles including fairness, transparency, and responsible model use.
โ€ข Willingness to follow established governance, documentation, and review practices.
โ€ข Strong curiosity and motivation to learn new tools, techniques, and AI methods.
โ€ข Openness to feedback and mentorship.
โ€ข Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
โ€ข Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
โ€ข Industry experience is preferred.
โ€ข Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
โ€ข Familiarity with cloud platforms (AWS, Azure, or GCP).
โ€ข Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.