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

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

micro1 AI

Digital Chemistry Specialist - Remote

Lynn, MA · Remote

$90 - $120/hr

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

Chewy

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Data Scientist I Boston, MA - IT - Payment Systems - Full time - R30289 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable ...

Moderna Therapeutics

Data Scientist

Cambridge, MA · On-site +1

$121K - $194K/yr

ModernaTX, Inc. seeks a Data Scientist for its Cambridge, Massachusetts location. Here's What You ... Requires a Master's degree, or foreign equivalent, in Computer Science, Computer Information ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with Data Science/ML and Product to productionize models and AI workflows; champion CI/CD and IaC. * Troubleshoot performance and cost issues; mentor engineers and set coding standards.

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Malden, MA

Remote Data Science information

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 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).

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 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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Malden, MA? The most popular types of Data Science jobs in Malden, MA are:
What job categories do people searching Remote Data Science jobs in Malden, MA look for? The top searched job categories for Remote Data Science jobs in Malden, MA are:
What cities near Malden, MA are hiring for Remote Data Science jobs? Cities near Malden, MA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Malden, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Insurance Data Science Consultant

Earnix

Boston, MA • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

Description
We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a seasoned professional with actuarial experience and deep expertise in predictive modeling, machine learning, and insurance analytics. You will play a pivotal role in influencing client decision-making, shaping pricing strategies and delivering actionable insights to clients across multiple lines of business.
This role is based in Texas, supporting our regional clients, and is part of our North America team headquartered in Boston, MA.
What you'll do
  • Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring decisions are grounded in data and aligned to business outcomes.
  • Engage directly with senior executives, translating complex technical results into clear, compelling narratives that drive alignment and action.
  • Build and evolve predictive models that assess risk and forecast demand-directly shaping pricing and business decisions across insurance products.
  • Influence decision-making at the highest levels by connecting analytics to business value and strategic priorities.
  • Demonstrate Earnix capabilities in executive and client settings, showing not just how the platform works-but what it enables.
  • Lead onboarding and training for new users, ensuring fast adoption and rapid time-to-value from day one.
  • Act as a trusted advisor to clients, bridging business, analytics, and technology to deliver measurable impact.

Requirements
You'll do it using:
  • 15+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modeling, and predictive techniques.
  • Strong hands-on experience with machine learning and statistical modeling to improve the accuracy, performance, and business impact of risk and pricing models.
  • Advanced proficiency in programming languages such as Python and R, applied to building, validating, and deploying scalable analytical solutions.
  • Experience working with intelligent decisioning platforms (such as Earnix or similar), integrating models into real-time pricing and personalization workflows.
  • Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organizations.
  • Willingness and flexibility to travel up to 40% domestically and internationally.

You'll excel by:
  • Communicating with clarity and executive presence, making complex data and models actionable for senior leadership.
  • Building trusted client relationships, understanding business needs, and delivering insights that drive measurable strategic outcomes.
  • Collaborating across teams, sharing knowledge and mentoring others to elevate the organization's analytical capability.
  • Adapting quickly to new challenges, staying curious and proactive in a fast-paced, innovation-driven environment.

Salary Range:
$ 180,000-204,000 per year
Position Intro
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel

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