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Data Science Jobs in Manchester, NH (NOW HIRING)

Varsity Tutors

Middle School Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Varsity Tutors

Earth Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

Varsity Tutors

High School Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

Varsity Tutors

Python Tutor

Lawrence, MA · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

Pioneer Data

Bench Scientist

Andover, MA · On-site

$35.75 - $44.75/hr

Bench Scientist Duration: 36+months Location: Andover, MA Preferred Skills (2 or more from list is ... Strong data organization and analysis skills Qualifications Education (any of the below or ...

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AP Computer Science A Tutor

Lawrence, MA · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Manchester, NH

Data Science information

See Manchester, NH salary details

$37.3K

$122.2K

$195.7K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Manchester, NH is $122,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,400.00 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 Manchester, NH?

The most popular types of Data Science jobs in Manchester, NH are:

What are popular job titles related to Data Science jobs in Manchester, NH?

For Data Science jobs in Manchester, NH, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Manchester, NH look for?

The top searched job categories for Data Science jobs in Manchester, NH are:

What cities near Manchester, NH are hiring for Data Science jobs?

Cities near Manchester, NH with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Manchester, NH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,207 per year, or $58.8 per hour.

Analytical Scientist / Method Validations / Pharma Industry

Pioneer Data

Andover, MA • On-site

Contractor

Re-posted 4 days ago

Job description

Position Details: 
Our client, a world-leading Pharmaceutical Company in Andover, MA is currently looking for a Analytical Scientist to join their expanding team.
 
Job Title: Analytical Scientist / Method Validations / Pharma Industry
Duration: 12 months contract, extendable up to 48 months
Location: Andover, MA
Hybrid: 2-3 days / week Onsite 
 
Note: 
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan
 
Job Description:
Role Summary
This role provides a combination of analytical laboratory testing and non-laboratory support to the QC Product Technical Support department in support of product lifecycle management. 
The scope includes analysis of biological products as well as authoring documentation to support lifecycle activities. 
Responsibilities include analytical method optimization, method validation, comparability assessments, and the evaluation of new technologies. 
The role requires a solid understanding of scientific principles underlying test methods, method validation requirements, data analysis, and cGMP requirements.
 
Role Responsibilities
Provide technical support for new or established analytical methods, troubleshooting methods and method improvements.
Analyze and interpret results with a solid scientific understanding, ensuring accuracy, completeness, and compliance.
Author test methods, validation protocols and reports, as well as supporting technical documentation for product lifecycle management.
Identify technical issues, method performance issues, instrument malfunctions and methodology problems and participate in necessary investigations.
Maintain all related data and records in compliance with cGMPs and quality procedures.
Track timelines and deliverables, and communicate effectively across teams to ensure alignment and timely execution.
 
Basic Qualifications
B.S. in Chemistry, Biology or related scientific discipline with a minimum of 5 years of applicable laboratory experience or M.S with a minimum of 3 years of relevant experience.
Knowledge and practical application of relevant analytical techniques
Experience within the biopharmaceutical industry, including knowledge and experience relevant to biopharmaceutical unity operations and/or laboratory operations.
Experience in method troubleshooting and laboratory investigations
Experience in validation of analytical methods
Experience with cGMPs and regulatory guidance
Experience with HPLC, CE, gel, spectroscopy