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Data Scientist Project Manager Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

... project managers, and faculty experts. • Willingness to participate in client meetings in a ... data science or machine learning. • Experience gained through internships, co-ops, academic ...

Northeastern University

Data Scientist

Portland, ME · On-site

This role is designed for early-career data scientists to contribute to the development and ... project managers, and faculty experts. • Willingness to participate in client meetings in a ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts. * Willingness to participate in client meetings in a supporting role.

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts. * Willingness to participate in client meetings in a supporting role.

Td

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate ... data science * Is familiar with the business context and data infrastructure and can translate ...

Td

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate ... data science * Is familiar with the business context and data infrastructure and can translate ...

HDR

Senior Environmental Scientist

Portland, ME · On-site

$85K - $114K/yr

... land management, or other infrastructure projects * Technical expertise in the design, implementation, interpretation and presentation of data for environmental studies and investigations in ...

HDR

Senior Environmental Scientist

Portland, ME · On-site

$85K - $114K/yr

... land management, or other infrastructure projects * Technical expertise in the design, implementation, interpretation and presentation of data for environmental studies and investigations in ...

HDR

Senior Environmental Scientist

Portland, ME · On-site

$85K - $114K/yr

... land management, or other infrastructure projects * Technical expertise in the design, implementation, interpretation and presentation of data for environmental studies and investigations in ...

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... managing multiple projects simultaneously. * Leadership Capabilities : Demonstrated ability to ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Maine

Data Scientist Project Manager information

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

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

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

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

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

Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Maine as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 27 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:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Industry experience is preferred.
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• 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.

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