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Remote Data Scientist Jobs in Hooksett, NH (NOW HIRING)

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Remote Data Scientist information

See Hooksett, NH salary details

$37.1K

$121.3K

$194.3K

How much do remote data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data scientist in Hooksett, NH is $121,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Hooksett, NH?

The most popular types of Data Scientist jobs in Hooksett, NH are:

What cities near Hooksett, NH are hiring for Remote Data Scientist jobs?

Cities near Hooksett, NH with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Hooksett, NH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,344 per year, or $58.3 per hour.

Technical Writer II / Method Validation documents / Remote work

Pioneer Data

Andover, MA • Remote

Contractor

Re-posted 24 days ago

Job description

Position Details:
Our client, a world-leading Pharmaceutical Company is currently looking for an Technical Writer II to join their expanding team.
Job Title: Technical Writer II / Method Validation documents / Remote work
Duration: 12 months contract, extendable up to 48 months
Location: Remote Worker
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:
Technical Writing, Author method validation documents.
This role will provide non-testing support to the QC Product Technical Support department.
This scope includes coordination of generating validation documents to support product validation at the client Andover site.
The technical skills within scope will require understanding of the scientific principles of test methods, data analysis and cGMP requirement.
The candidate will be responsible for facilitating lifecycle management through collaboration with laboratory subject matter experts (SMEs) and analysts.
 
The key responsibilities of the candidate are as follows:
Authoring method validation documents using client document workflow, through collaboration with SMEs Use of the Laboratory Management System (LIMS) Supporting assay improvement activities and generating supporting documents.
Participating in across site meetings and tracking the project timeline Successful candidate requires: Knowledge of QC microbial support and technical writing Strong interpersonal and written communication skills
A detail-oriented approach to deliverables as the main job responsibility is data review and generation of GMP documentation A degree in science, preferably in microbiology or related technical discipline Past experience supporting GMP writing in the biopharmaceutical field