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

A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design ... with Data Science teams to operationalize data products · Experience introducing AI-enabled ...

Data Architect

Boston, MA · On-site +1

$69.25 - $89/hr

... science to accelerate value, delivery and outcomes for the business. The Data Architect will ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Senior Data Engineer

Boston, MA · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Senior Data Engineer

Westwood, MA · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Senior Data Engineer

Westwood, MA · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Senior Data Engineer

Boston, MA · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Data Engineer

Boston, MA · Remote

$137K/yr

Collaborate with data scientists to build pipelines for training and deploying machine learning ... This position is eligible for fully remote work from any location in the United States. Minimum ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Showing results 41-60

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.

What are the most commonly searched types of Data Science jobs in Waltham, MA?

The most popular types of Data Science jobs in Waltham, MA are:

What are popular job titles related to Remote Data Science jobs in Waltham, MA?

For Remote Data Science jobs in Waltham, MA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Waltham, MA look for?

The top searched job categories for Remote Data Science jobs in Waltham, MA are:

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

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

Infographic showing various Remote Data Science job openings in Waltham, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Data Engineer

Motion Recruitment

Boston, MA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Job Description

A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design, development, and evolution of enterprise-scale data systems that power critical business operations and decision-making. This role combines data architecture, platform engineering, and technical leadership, with a focus on building scalable ETL/ELT pipelines, modern cloud-based data platforms, and trusted data foundations across the organization. The environment leverages Python, SQL, AWS, Redshift, Glue, Lambda, S3, Airflow, and modern data engineering practices to support both operational and analytical workloads.

This is a highly visible Staff-level opportunity where you'll serve as the senior technical leader for data engineering, shaping the organization's long-term data strategy while remaining hands-on with architecture and implementation. The team is looking for someone who enjoys solving complex data challenges, influencing engineering standards across teams, and building systems that scale with business growth.
This is a full-time position.

Required Skills & Experience

· Extensive experience building and maintaining production ETL/ELT pipelines
· Strong experience with Python and SQL
· Experience with AWS data technologies including Redshift, Glue, Lambda, and S3
· Experience with orchestration tools such as Airflow
· Experience designing scalable data warehouse architectures and enterprise data models
· Strong understanding of distributed data systems and database architecture
· Experience supporting batch, streaming, CDC, and event-driven data pipelines
· Experience implementing data governance frameworks and RBAC controls
· Strong software engineering fundamentals and backend systems experience
· Ability to lead technical direction and influence stakeholders across teams

Desired Skills & Experience

· Experience supporting machine learning or LLM-based production systems
· Familiarity with agent orchestration frameworks such as LangGraph
· Experience partnering with Data Science teams to operationalize data products
· Experience introducing AI-enabled workflows into production environments
· Experience with automation, observability, and modern data platform tooling

What You Will Be Doing Tech Breakdown

· 35% Data Architecture & Strategy
· 35% Data Engineering & Pipeline Development
· 20% Technical Leadership & Cross-Functional Collaboration
· 10% AI, Automation & Platform Innovation

Daily Responsibilities

· 65% Hands On Engineering
· 20% Architecture & Technical Leadership
· 15% Team Collaboration & Stakeholder Engagement

The Offer

• Competitive base salary + bonus potential

You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· 401(k) with company match
· Paid Time Off (PTO)
· Paid Holidays
· Wellness Programs
· Employee Assistance Program (EAP)
· Fully Remote Work Environment (US-Based)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.