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Data Science Jobs in Manchester, NH (NOW HIRING)

Varsity Tutors

ACT Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Fidelity Investments

Director, GenAI Technology

Merrimack, NH · On-site

$126K/yr

  • Medical

  • Retirement

  • PTO

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience. Experience working with LLMs for ...

Pioneer Data

Bench Scientist

Andover, MA · On-site

$35.75 - $44.75/hr

* A rare position is available for a bioanalytical scientist to join a state-of-the-art protein mass ... Support analysis of quantitative LC-MS/MS data using relevant bioinformatics and quantitation ...

Pioneer Data

Bench Scientist

Andover, MA

$35.75 - $44.75/hr

A rare position is available for a bioanalytical scientist to join a state-of-the-art protein mass ... Strong data organization and analysis skills. Strong communication skills. Additional Information ...

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Showing results 21-40

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.

Big Data Infrastructure Administrator

Right Talent Right Now

Concord, NH • On-site

Full-time

Re-posted 19 days ago

Job description

Job Description


Big Data Infrastructure Administrator


Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.

This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.


Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation

Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution

Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus

Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply