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Remote Data Science Jobs in Kingston, NH (NOW HIRING)

IQVIA

Data Acquisition Representative

Burlington, MA · On-site +1

$42K - $106K/yr

Provide professional, responsive support to clients and vendors Job Location United States - Remote ... life sciences and healthcare industries. We create intelligent connections to accelerate the ...

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Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
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What cities near Kingston, NH are hiring for Remote Data Science jobs?

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Kingston, NH as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Technical Writer II / Method Validation documents / Remote work

Pioneer Data

Andover, MA • Remote

Contractor

Re-posted 19 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