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Data Science Jobs in Waterville, ME (NOW HIRING)

Datavant

Client Partner, Pharma

Augusta, ME · On-site

$160K - $180K/yr

Qualifications of the Role * 10+ years of relevant experience in Enterprise sales or business development, in life sciences, focused on SaaS, Real World Data, or services. * Deep understanding of ...

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All JobsData Science JobsData Science Jobs in Waterville, ME

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.
More about Data Science jobs
What cities near Waterville, ME are hiring for Data Science jobs? Cities near Waterville, ME with the most Data Science job openings:
Data Science jobs near you
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.

Quality Control Clinical Scientist

Elanco Animal Health

Waterville, ME • On-site

Other

Posted 4 days ago

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

51st of 86 rated pharmaceutical

Job description

Quality Control Clinical Scientist (Avian/Poultry Testing)

As a Quality Control Clinical Scientist, you will be part of the Quality Control team supporting animal potency and safety testing for avian vaccines. In this role, you will execute regulated testing procedures, ensure animal welfare, and support compliance with USDA and 9 CFR guidelines while maintaining accurate documentation and facility readiness.

Your responsibilities include:

  • Conduct avian vaccine testing, including vaccinations, blood collection, necropsy, and challenge studies
  • Provide daily animal care, monitoring environmental conditions and ensuring compliance with animal welfare standards
  • Maintain accurate records and documentation in accordance with USDA and regulatory requirements
  • Support investigations, trending, and analysis of testing data, including deviations and change controls
  • Assist with SOP creation, facility inspections, and training to ensure compliance and operational readiness

Minimum qualifications:

  • Education: High School Diploma/GED (or equivalent experience)
  • Experience: Experience in animal care, laboratory, or regulated environment preferred
  • Top 2 skills: Strong attention to detail and ability to follow procedures in a regulated environment + ability to work both independently and as part of a team

Preferred qualifications:

  • Veterinary Technologist degree or equivalent training
  • ALAT, LAT, or LATG certification
  • Knowledge of IACUC guidelines and animal welfare standards
  • Experience with poultry or avian species care
  • Experience with SOP development, documentation, and data analysis

Additional information:

  • Travel: None
  • Must be able to pass a background check and gain Select Agent clearance.
  • Weekend and holiday work required; must be comfortable working in indoor/outdoor environments and adhering to facility requirements (including shower-in/shower-out protocols)

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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