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Data Science Jobs in Waterville, ME (NOW HIRING)

Data Analyst

Augusta, ME · Hybrid

$62K/yr

Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field. Skills and Knowledge: Required Information gathering and analytical ...

Data Analyst

Augusta, ME · On-site

$62K/yr

Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field. Skills and Knowledge: Required • Information gathering and analytical ...

Science Teacher 9-12

Union, ME · On-site

$50K - $65K/yr

Science Teacher (Grades 9-12) Medomak Valley High School is seeking a dedicated and passionate ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

Science Teacher 9-12

ME · On-site

$50K - $65K/yr

High School Teaching/Science Date Posted: 7/17/2026 Location: Medomak Valley High School Science ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Data Engineer

Augusta, ME

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Augusta, ME · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

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Data Science information

See Waterville, ME salary details

$37.4K

$122.5K

$196.1K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Waterville, ME is $122,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 cities near Waterville, ME are hiring for Data Science jobs? Cities near Waterville, ME with the most Data Science job openings:
Infographic showing various Data Science job openings in Waterville, ME as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $122,509 per year, or $58.9 per hour.

$62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

Description

Primary Purpose: The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs, conditions, and trends in Maine, as well as the impact of MaineHousing programs. This position is responsible for internal and external requests for data, dashboard development and maintenance, compiling housing statistics, and assisting with program software adoption, program evaluation, and other research activities.

Core Functions:

Data Stewardship.

o Promote interdepartmental data literacy and appreciation by providing expertise and leadership to the Data Stewardship Team. 

o Develop and improve systems for the collection and maintenance of data from all MaineHousing programs and activities.

o Support the development and ongoing improvement of comprehensive data governance procedures to support the quality, integrity, and security of all MaineHousing data.

o Develop and maintain a database of publicly available data (e.g. HUD, Census, Maine Revenue Service) and subscription data (e.g. MLS and Claritas data) to support MaineHousing's strategic interests.

o Facilitate interdepartmental integration of data, where possible.


Data Analysis

o Assist in the design and creation of new data methods and tools to track and assess affordable housing needs by region and target population.

o Provide basic technical assistance and analytical expertise to departments for data analysis, program monitoring, and performance measurement.

o Support department directors' efforts to identify cost effective and reliable methods for measuring client satisfaction, needs, and trends for their programs and products.

o Develop a working knowledge of programs and priorities to proactively develop, maintain, and interpret data that will advance MaineHousing's strategic interests.

o Flag significant changes in indicators and indices and assist in investigating the cause of such anomalous variation.


Data Coordination and Communication

o Work with department directors and the director's team to create at-a-glance views of key performance indicators relevant to individual programs or agency objectives.

o Manage regular updates to all data dashboards, indices, and maps.

o Develop and maintain process guides for collecting, updating, managing, and using data for all of PnR's ongoing internal and external uses.

o Respond to requests for programmatic and other housing data from state agencies, researchers, municipalities, and the public; provide context and interpretation, as appropriate.

o Collect and curate data needed for grant applications and MaineHousing reports.

o Support departmental process improvement initiatives with data expertise and insights.

o Work with the PnR Coordinator to analyze survey data collected in support of department and agency initiatives.


Other duties as assigned

Requirements

Education and Experience: Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field.

Skills and Knowledge:

Required

Information gathering and analytical problem solving.

Ability to organize and interpret complex data from multiple sources.

Ability to present data using online tools such as Tableau and mapping applications.

Strong PC skills using various software (spreadsheet, word processing, database).

Ability to manage a fast-paced environment with shifting priorities across a range of work products with limited supervision.

Organizational skills and ability to prioritize and manage multiple and varied tasks.

Demonstrated skills in self-direction, attention to detail, and troubleshooting.

Ability to establish and maintain good working relationships with internal and external business partners.


Preferred

Demonstrated programming ability in SQL, R, or similar packages.

Experience with GIS software (ArcGIS or similar).


Working Conditions:  Fast paced environment with multiple priorities, interruptions & deadlines. A hybrid schedule may be considered, if appropriate, after 6 months employment.


Reports To: Director of Planning & Research                                     Supervises: No one


The salary range for this position is $62,932 - $94,399.  All new employees will start at $62,932, unless otherwise agreed to by MaineHousing.  MaineHousing also offers a comprehensive benefits package, including, but not limited to, health, dental and vision, retirement options with employer match, life insurance, short and long-term disability, employee assistance, generous earned time and all major federal holidays. Employment is eligible for the Public Service Loan Forgiveness Program. 


**Position will remain open until a suitable candidate is found**