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Remote Data Science Jobs in Hingham, MA (NOW HIRING)

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Extensive experience in Data Science capability assessment and analysis; Demonstrated ability to ...

Data Scientist

Boston, MA · Remote

$74K - $88K/yr

... computer science, data analytics, data science, statistics, mathematics, engineering or related ... The agency has a hybrid schedule, combining time in the office with remote work. Employees must ...

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Showing results 21-40

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 remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What cities near Hingham, MA are hiring for Remote Data Science jobs?

Cities near Hingham, MA with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Hingham, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Scientist - Healthcare Fraud Waste and Abuse - REMOTE

Medix

Boston, MA • On-site, Remote

$65 - $75/hr

Full-time

Posted 19 days ago


Job description

Job Title: Data Scientist - Healthcare Fraud Waste and Abuse - REMOTE
Position Type: Contract to Hire
Position Level : Associate - seeking 3-5 years professional experience
Work Location: FULLY REMOTE
*Must live in the US. Must be able to work EST/CST hours
ABOUT OUR CLIENT / ABOUT THIS ROLE
Medix is currently seeking a Data Science Analyst for an exciting contract to hire job opportunity with one of our Healthcare Analytics Services clients. This is a 100% remote role that will start on a contract basis, and convert to a full-time employee within 6 months.
This Data Science Analyst will be joining a team focused on Healthcare Claims Fraud, Waste and Abuse (FWA). This individual will be developing and operating / optimizing predictive models for deep analysis on financial / revenue cycle data, with an emphasis towards identifying anomalies, and returning measurable cost-savings.
RESPONSIBILITIES
  • Building and deploying predictive models to assess anomalies and patterns for fraud, waste, and abuse in Healthcare Claims / Financial Data.
  • Developing and owning complex data products that can help automatically identify and prevent FWA.
  • Building data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
  • Designing, developing and deploying LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling, document understanding, and related use cases.
  • Conducting deep-dive analyses, heavy SQL coding, and predictive modeling to identify patterns in the data
  • Working with Agentic AI tools to develop, implement, and maintain advanced operational workflows to integrate vendor solutions with client environments.
  • Serving as a liaison and communicator to leadership (department heads). This will include meeting regularly with business leaders to help solution how to embed automatic data processes into every day revenue cycle workflows
  • Visualizing data via dashboards and present complex findings to non-technical stakeholders and/or legal teams

REQUIRED SKILLS
  • Required Bachelor of Science Degree
  • Must have at least 2 years of Healthcare Domain experience - specifically within Revenue and Finance, Fraud, Waste, Abuse.
  • Strong background in applied statistics, regression analysis, and clustering techniques.
  • Advanced hands-on experience with Python and Python-based libraries (PySpark, Numpy, SciPy)
  • Advanced hands-on experience with SQL

No C2C Inquiries - this is a contract to hire a position that will convert to a full time employee within 6 months. Work visa sponsorship is not offered: talent must be permanently authorized to work for our client without the need for work-visa sponsorship now, or in the future.
* We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance (FCIHO), Los Angeles Fair Chance Ordinance for Employers (ULAC), The San Francisco Fair Chance Ordinance (FCO), and the California Fair Chance Act (CFCA).
* This position is subject to a background check based on its job duties, which may include patient care, working with vulnerable populations, access to financial and confidential information, driving, working with heavy machinery, or working in a warehouse or laboratory environment. Due to these job duties, this position has a significant impact on the business operations and reputation, as well as the safety and well-being of individuals who may be cared for as part of the job position or who may interact with staff or clients.

Medix Staffing Solutions logo

About Medix Staffing Solutions

Sourced by ZipRecruiter

Since 2001, we’ve been dedicated to helping you achieve your goals. Medix was created to become a leading provider of workforce solutions for clients and candidates across the healthcare and life sciences industries. Today, we are that leader. Headquartered in Chicago, we have 23 offices across the United States, and staff talent around the world. Medix is committed to fulfilling our core purpose as an organization: to positively impact the lives of our talent, clients, and teammates through employment, philanthropy, and opportunity. The combination of purpose and values has nurtured our thriving culture that encourages our internal team to excel at work and in everyday life.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US