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Data Science Jobs in Brunswick, ME (NOW HIRING)

Unum UK

Manager, Data Engineering

Portland, ME · On-site

Bachelor's degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field preferred. * Prior leadership, people management, or technical team ...

New

Sanoma

Product Manager

Poland, ME

Lead cross-functional collaboration across engineering, data science, integrations, legal, content, commercial, and country organizations to turn strategy into shipped outcomes * Own end-to-end ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Brunswick, ME

Data Science information

See Brunswick, ME salary details

$38.2K

$125.1K

$200.3K

How much do data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science in Brunswick, ME is $125,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,600.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Brunswick, ME?

The most popular types of Data Science jobs in Brunswick, ME are:

What are popular job titles related to Data Science jobs in Brunswick, ME?

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Brunswick, ME as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $125,130 per year, or $60.2 per hour.

Manager, Data Engineering

Unum UK

Portland, ME • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Job Posting End Date: September 03

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:

Our Finance Data Modernization team is seeking a Manager, Data Engineering. The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational reporting, and strategic business decision-making. This role partners closely with business and technology stakeholders to translate requirements into practical data solutions, drive consistency across a large portfolio of initiatives, and ensure smooth coordination from intake through implementation and operational support. The position provides technical leadership, advances modern data engineering practices, and champions the adoption of AI and agentic development processes to accelerate delivery while maintaining high standards for quality, governance, and business value. As a newly created leadership role, this position is critical to building consistency, scalability, and operational excellence across the Data Engineering function.

We are looking for Candidates in Chattanooga, TN or Portland, ME.

Principal Duties and Responsibilities

  • Lead execution of the team's data strategy, providing direction on tools, methodologies, delivery practices, and engineering standards that support consistent and scalable outcomes.
  • Oversee the planning, estimation, prioritization, and on-time delivery of data engineering initiatives, including setting clear expectations with business and technical stakeholders.
  • Guide the design, development, and implementation of data pipelines, analytical databases, and analytics workflows that support operational reporting, Finance analytics, and business performance objectives.
  • Partner with business areas to translate needs into technical plans, identify required data sources, communicate findings, and develop practical implementation approaches aligned to corporate policies, procedures, controls, and compliance requirements.
  • Advance the team's use of AI and agentic development practices to accelerate developer throughput, improve delivery efficiency, and establish appropriate standards for prompt engineering, responsible usage, and team upskilling.
  • Evaluate current and emerging data engineering, analytics, and AI methods to recommend continuous improvement opportunities and strengthen the team's technical capabilities.
  • Recruit, train, coach, develop, and retain staff, including performance management and mentoring to build technical depth, delivery discipline, and effective use of modern data tools.
  • Perform other related duties as assigned.

Job Specifications

Required Qualifications

  • Minimum of 5 years of hands-on experience in data engineering, business intelligence, data science, or a closely related discipline, with demonstrated ability to deliver scalable data and analytics solutions.

Preferred Qualifications

  • Bachelor's degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field preferred.
  • Prior leadership, people management, or technical team leadership experience preferred.

Technical Skills

  • Experience with Data Build Tool (DBT Core or Platform) to support data transformation, modeling, testing, documentation, and governed pipeline development.
  • Experience with analytics programming languages, including SQL/Python, for data extraction, transformation, analysis, automation, and pipeline development.
  • Experience with modern BI toolsets, including Tableau, Alteryx, PowerBI, or equivalent platforms, to support analytics, visualization, workflow automation, and business reporting needs.
  • Strong understanding of data profiling, statistical analysis, data modeling, data architecture, and related infrastructure concepts across on-premises and cloud-based environments.
  • Demonstrated ability to extract, load, integrate, and leverage data across data warehouses, transactional databases, object stores, APIs, and other enterprise data environments.
  • Strong problem-solving, programming, prioritization, and project management skills, with the ability to manage ambiguity and make thoughtful recommendations.
  • Ability to interpret complex technical and analytical information, decompose problems, and translate findings into practical business solutions for stakeholders at multiple levels.
  • Excellent communication, collaboration, coaching, and mentoring skills, including the ability to develop technical talent and work effectively with business partners, technical teams, senior leaders, and external contacts.

#LI-AS3

~IN1

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$89,400.00-$183,500.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum

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