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Data Science Jobs in Waterville, ME (NOW HIRING)

Science Teacher 9-12

ME · On-site

$50K - $65K/yr

High School Teaching/Science Date Posted: 5/21/2026 Location: Medomak Valley High School Science ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

Science Teacher 9-12

Union, ME

$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 ...

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 ...

... of the Technical Services/Manufacturing Science team supporting process improvement ... through data analysis, process capability assessments, and continuous improvement initiatives ...

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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 Jul 17, 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 data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,509 per year, or $58.9 per hour.

Principal - Data Science & Architecture

Iberdrola

Augusta, ME

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Job Title: Principal Data & Science Architecture

Location: Orange, CT; Rochester, NY, Binghamton, NY; Augusta, ME.

Number of Positions: 1

Work type: Office

The salary range for this position is dependent upon experience and location, ranging from:

  • CT: $148,160 - $185,200

  • NY / ME: $134,720 - $168,400

What We Offer:

  • Competitive benefits and growth opportunities

  • Generous performancebased bonuses

  • 12% 401(k) match

  • Comprehensive health, dental, and vision insurance

  • Tuition reimbursement

  • Professional development and clear careeradvancement pathways

For more information, please visit: Benefits - Avangrid

Job Summary

The Principal Data Scientist and Architect in the Data Science and Analytics group will execute enterprise-wide initiatives to drive performance improvements, data-driven decision-making, and customer-centric transformation across the Avangrid's Networks utility operating companies. This team member will focus on utilizing data science and analytic models and methodologies to derive insights from customer service and digital data. They will also lead the development of AI models and the development of underlying datasets to facilitate GenAI initiatives.

Responsibilities:

  • Lead the design and development of advanced ML/AI solutions (GenAI, LLMs, NLP, classical ML, causal inference) that directly support Avangrid Networks' customer experience priorities: CSAT improvement, payment and collections, and contact deflection.

  • Architect end-to-end ML systems on modern cloud platforms (Azure, Databricks), including feature stores, model registries, deployment pipelines, monitoring, and retraining workflows - establishing reference patterns for the broader Data Science & Analytics organization.

  • Lead GenAI and agentic AI initiatives for both customer-facing (self-service) and agent-assist applications, including RAG architectures, retrieval pipelines, evaluation frameworks, and responsible AI guardrails for the flagship Iberdrola initiatives.

  • Partner closely with Data Engineering to define data product requirements, drive customer-oriented data infrastructure build-out, and ensure analytics-ready datasets across SAP, CC&B, AMI, contact center, and digital platforms.

  • Collaborate closely with technical leads in Customer Service, Elec/Gas Operations, Digital Platforms, Regulatory, and IT to translate business needs into AI/ML solutions and embed them into production workflows.

  • Serve as the data domain expert ("Lead SME") for customer, billing, contact, and consumption datasets-including data lineage, quality, and appropriate analytical use.

  • Serve as technical lead and mentor for junior data scientists and analysts; review modeling approaches, code, and methodology; raise the technical bar across the team.

  • Support regulatory filings, audits, rate cases, and PSC/DPU inquiries by delivering accurate, defensible, data-driven analysis and written narratives.

  • Champion responsible AI practices, including model documentation, bias assessment, privacy compliance, and alignment with Avangrid's AI governance and Global AI Inventory standards.

Required Qualifications:

  • Minimum of 10 years of experience in data science, data analytics, or mathematical modeling. Experience performing data science or mathematical modeling research as part of graduate work (MS and PhD) can count towards experience minimum.

Technical & Functional Skills:

  • Demonstrated experience in the development or facilitation of AI models.

  • Technical experience with specific data intelligence tools including relational databases (SQL), automated pipelines and processes (Python), integrated dashboards and applications (PowerBI, Streamlit).

  • Advanced technical expertise with data science modeling techniques and approaches.

  • Understanding of customer journey mapping, operational KPIs, and performance frameworks (e.g., Balanced Scorecard).

  • Knowledge of regulatory and operational environments in energy/utilities and experience supporting rate case submissions and leading hearing discussions.

  • Ability to manage multiple priorities in a complex, matrixed organization.

  • Willingness to travel approximately 10% of the time across Avangrid locations.

Preferred Qualifications:

  • Minimum of 3 years of experience in a regulated utility preferred.

  • Experience with Generative AI and Large Language Models (LLMs)

#LI-NB1
#LI-office

Company:

AVANGRID SERVICE COMPANY

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.

Job Posting End Date:

August-1-2026