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How much do work from home data scientist software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for work from home data scientist software engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a work from home data scientist software engineer?

A Work From Home Data Scientist Software Engineer is a professional who combines skills in software engineering and data science, working remotely to develop, implement, and optimize data-driven applications. They analyze large datasets, build machine learning models, and create software solutions that help businesses make informed decisions. Working from home, they collaborate with teams using digital tools, ensuring productivity and effective communication while enjoying the flexibility of a remote work environment.

How do work from home data scientist software engineers typically collaborate with team members remotely?

Work From Home Data Scientist Software Engineers often collaborate using a combination of video conferencing tools, version control systems like Git, and cloud-based platforms for sharing code and data. Regular stand-up meetings, code reviews, and asynchronous communication via chat applications keep everyone aligned on project goals. Close coordination with product managers, other engineers, and data analysts is common, ensuring that models and software solutions meet user requirements. Despite working remotely, these professionals are expected to be proactive in communication and documentation to maintain team productivity and project transparency.

What are the key skills and qualifications needed to thrive as a work from home data scientist software engineer, and why are they important?

To thrive as a Work From Home Data Scientist Software Engineer, you need strong programming skills (Python, R, or Java), expertise in data analysis, machine learning, and a degree in computer science, statistics, or a related field. Familiarity with technical tools like TensorFlow, PyTorch, SQL databases, Git, and cloud platforms (AWS, Azure, or GCP) is typically required. Excellent problem-solving, communication, and self-management skills are crucial for effective remote work and collaboration. These skills and qualities enable you to build efficient data-driven solutions, maintain productivity independently, and contribute meaningfully to distributed teams.

What is the difference between Work From Home Data Scientist Software Engineer vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Software EngineerWork From Home Data Analyst
Required SkillsProgramming (Python, R), machine learning, statistical analysis, software developmentData interpretation, SQL, Excel, basic statistical skills
Work EnvironmentCollaborative teams, coding, model deploymentData reporting, visualization, ad hoc analysis
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Work From Home Data Scientist Software Engineers focus on building models and developing software solutions, requiring advanced programming and machine learning skills. In contrast, Work From Home Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on coding. Both roles are common in various industries and often share similar remote work environments, but their core responsibilities differ significantly.

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Cities with the most Work From Home Data Scientist Software Engineer job openings:

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Work From Home Data Scientist Software Engineer jobs near you
Infographic showing various Work From Home Data Scientist Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist, Software Engineering

Kulicke & Soffa

Fort Washington, PA • On-site, Remote

$109K - $150K/yr

Full-time

Posted 23 days ago

Job description

Position Title:

Senior Data Scientist, Software Engineering

Position Duties/

Requirements: 

Research, design, and implement advanced machine learning (ML) solutions, including image classification, time series and waveform-based models, for semiconductor manufacturing and related applications; Develop and optimize embedded software components that integrate ML algorithms into proprietary hardware systems, ensuring real-time performance and reliability; Architect and implement end-to-end MLOps pipelines, including data ingestion, preprocessing, model training, deployment, monitoring, and lifecycle management, leveraging cloud platforms and container orchestration technologies; Integrate labeling systems into the MLOps lifecycle (e.g., human-in-the-loop labeling, active learning, dataset curation tools) and design, implement, and operate reliable data stores for MLOps, including object storage, time-series databases, feature stores, and metadata registries, with robust data lineage, provenance tracking, governance, access control, and auditability; Build and maintain data pipelines for large-scale data processing, feature engineering, and model development, ensuring robustness and scalability across distributed environments; Design and develop web-based applications and services to deliver data visualization, configuration, and operational control of ML-driven solutions, integrating with backend servers and cloud infrastructure; Create and maintain automated processes and algorithms for data cleansing, anomaly detection, and interpretation of complex signals from manufacturing hardware; Collaborate with cross-functional teams to translate business and engineering requirements into actionable AIdriven solutions, including defining experiments, validation plans, and performance metrics; Develop software modules and visualization tools for interpreting machine and process signals, enabling actionable insights for R&D and production optimization; Implement CI/CD workflows for ML applications, ensuring seamless integration, version control, and automated deployment across environments; and Communicate technical findings and analytics insights to stakeholders, provide technical leadership and guidance to cross-functional teams, and serve as an internal expert on ML, MLOps, and software integration.

In order to perform the above-mentioned tasks, the following skills and experience are required: Experience designing and implementing ML-based solutions, including both image classification models and waveform-based ML models; Experience with Python for data science and ML development; Experience with embedded software programming with C++ and OOP, web application development, and databases; Experience integrating ML components into production environments, optimize performance, and ensure scalability across distributed systems; Experience with data preprocessing, feature engineering, and workflow automation for ML models; Experience with containerization (e.g., Docker, Podman) and orchestration tools (e.g., Kubernetes); Experience designing and implementing full-stack AI solutions, from embedded systems to cloud-based services, ensuring robust security and compliance; and Experience with Git, CI/CD pipelines, and automated deployment strategies for ML applications. Requires a Bachelor's degree or foreign equivalent in Data Science, Computer Science or a closely related field, and at least two (2) years of experience in a Data Scientist, Software Engineer or related occupation. Option to work from home (hybrid) may be available. Please send C.V. to amcgrath@kns.com.  

No. of Openings:

1

Rate of Pay:

$109,845 - $150,000/year

Location of Employment:  

Kulicke and Soffa Industries, Inc.

1005 Virginia Drive, Fort Washington, PA 19034

Hours: 

40

Contact: 

Ariel McGrath, Senior Advisor, HR, amcgrath@kns.com 

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