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Data Science Jobs in Rochester, NH (NOW HIRING)

IT Data Science Engineer (6100)

Newington, NH

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview The Data Science Engineer bridges data engineering and data science by building the systems, tools, and infrastructure that allow organizations to extract insights and deploy ...

IT Data Science Engineer (6100)

Newington, NH · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview The Data Science Engineer bridges data engineering and data science by building the systems, tools, and infrastructure that allow organizations to extract insights and deploy ...

IT Data Science Engineer (6100)

Newington, NH · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview The Data Science Engineer bridges data engineering and data science by building the systems, tools, and infrastructure that allow organizations to extract insights and deploy ...

Sr. Geospatial Data Scientist

Hampton, NH · On-site

$125 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Overview Reporting to the Director, Geospatial Analytics & Data Science, the Senior Geospatial Data Scientist develops advanced geospatial analytical solutions, predictive models, optimization ...

New

Data Architect

Portsmouth, NH

$65 - $83.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ years of experience in data architecture, enterprise data management, or data integration roles

Serve as SC Product's primary voice on AI with Solaria, US Data Science, Technology, and USRM AI Enablement teams -- shaping strategy jointly and ensuring SC's priorities have appropriate visibility

New

Director I, Product Research

Portsmouth, NH · On-site

$237K - $248K/yr

Serve as SC Product's primary voice on AI with Solaria, US Data Science, Technology, and USRM AI Enablement teams - shaping strategy jointly and ensuring SC's priorities have appropriate visibility

Data Entry Operator III

Portsmouth, NH · On-site

$17.25 - $23.25/hr

... scientific expertise, and process excellence and helps their customers to deliver new and ... Job Title: Data Entry Operator III Location: Portsmouth, NH, 03801 Duration: 12 Months Job Type:

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Showing results 1-20

Data Science information

See Rochester, NH salary details

$36.7K

$120.1K

$192.3K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Rochester, NH is $120,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $133,100.00 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.

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

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

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

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

Infographic showing various Data Science job openings in Rochester, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,126 per year, or $57.8 per hour.

IT Data Science Engineer (6100)

SubCom

Newington, NH

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


SubCom rating

4.5

Company rating: 4.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

445th of 449 rated engineering


Job description

Are you looking for an opportunity with plenty of growth potential? Do you enjoy working in an exciting, fast-paced, collaborative environment? Are you interested in working with the world’s most innovative companies to create a more connected world? 

Connecting Continents. Impacting Communities. 

The backbone of the Internet is a series of high-tech subsea fiber optic cables deployed throughout the globe - SubCom has deployed over 50% of them. Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every member of the SubCom team plays a role in an end-to-end process that is critical to enterprises, governments, big cities, and rural towns. 

We encourage, expect, and value creativity, thoughtful risk taking, openness to change, and diverse perspectives. Whether you’re a seasoned applicant seeking a new and exciting challenge, or you’re new to the workforce and looking for a flexible, rewarding, and fast-paced position with an innovative and stable organization (since 1953), SubCom has opportunities to advance your career. 

Position Overview

The Data Science Engineer bridges data engineering and data science by building the systems, tools, and infrastructure that allow organizations to extract insights and deploy advanced analytics. They design and maintain data pipelines, support scalable machine learning, and ensure that data scientists have reliable, high-quality data and platforms to work with. This position reports to the IT Infrastructure and Cloud Manager and is located in Newington, NH. 

Responsibilities 

  • Design and maintain scalable cloud data architectures leveraging SQL Server, Azure Data Lake, and Microsoft Fabric. 
  • Develop, optimize, and manage the SQL Server database footprint, including schema design, performance tuning, indexing, and capacity planning.
  • Lead SQL Server modernization and cloud migration initiatives, transitioning on-prem databases to Azure SQL, Managed Instance, or IaaS environments. 
  • Build and optimize end-to-end data pipelines and data models supporting analytics, reporting, and application workloads. 
  • Develop and maintain Power BI semantic models, dashboards, and reports delivering trusted, actionable insights. 
  • Implement security, identity, and access controls using Azure Active Directory (Entra ID), including RBAC and Power BI row-level security. 
  • Build and integrate data-driven web applications using .NET / .NET Core and RESTful APIs. 
  • Utilize Azure DevOps for source control, work item management, and CI/CD pipelines across data and application solutions. 
  • Automate deployments and enforce DevOps best practices for analytics, data platforms, and application releases. 
  • Collaborate with business and IT stakeholders to translate requirements into scalable, cloud-ready technical solutions. 
  • Ensure data quality, performance, governance, security, and compliance across cloud and on-prem environments. 
  • Apply AI and advanced analytics tools (Azure AI, Fabric AI, OpenAI, etc.) to enhance insights, automation, and decision-making. 
  • Continuously evaluate and improve platform reliability, scalability, and cost efficiency. 
  • Create documentation including system dependency maps, architecture diagrams, SOP's, and end user instructions for applications. 

Qualifications 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
  • 5+ years of experience in SQL Server (database design, stored procedures, performance tuning).
  • 3+ years of experience with .NET technologies (C#, ASP.NET, MVC, or .NET Core) and web application development.
  • Hands-on experience with Azure Data Services (Azure Data Lake, Synapse Analytics, Microsoft Fabric, or similar).
  • Hands-on experience with Azure Modern Application Development (DevOps, Azure App Service, Azure Web apps)
  • Experience refactoring legacy applications to Modern Web App standards
  • Expertise in data visualization tools, preferably Power BI, including dataset modeling and DAX expressions.
  • Strong understanding of data modeling, ETL frameworks, and data warehousing concepts.
  • Experience integrating applications and data using APIs, REST services, and JSON/XML formats.
  • Excellent analytical, problem-solving, and communication skills. 

NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization. 

Candidates for positions with SubCom must be legally authorized to work in the United States. Employment eligibility verification will be required at the time of hire. Visa sponsorship is not available for this position. 

Our selection procedure is based on local, state and federal law.

Please be sure to attach a resume to your application. We are not able to consider applications without a resume. 

BENEFITS 

SubCom offers a comprehensive benefits package, including but not limited to: competitive salaries, medical, dental, vision, life and disability insurance coverages, FSA, HSA, generous vacation, paid sick leave, paid parental leave, paid holidays, tuition reimbursement, adoption assistance, and a 401(k) plan with generous company match. Additionally, some positions may be eligible for shift differential. 

AFFIRMATIVE ACTION/EQUAL EMPLOYER OPPORTUNITY 

SubCom is committed to providing a work environment that prohibits discrimination based on age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation. 

SubCom engineers, manufactures, and installs subsea fiber optic data cables - the unsung heroes of global communication. With an unrelenting focus on quality, reliability, and value, SubCom offers flexible end-to-end building blocks for the high-tech networks that are the backbone of the world's digital infrastructure. While the company's origins date back to the mid-19th century, SubCom has deployed enough cable to circle the equator more than 25 times since its entry into the communications industry in 1955.

SUBCOM’S CORE VALUES 

Quality   -   Accountability   -   Teamwork   -   Innovation 


What SubCom employees say

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