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Data Scientist Software Engineer Jobs (NOW HIRING)

Teladoc Health, Inc.

Data Scientist III

Manhattan, NY · On-site

$173 - $219/hr

... Data Scientist, Software Engineer or in an occupation involving SaaS or consumer companies ... Additionally, the applicant must have employment experience with: * (1) End-to-end design ...

VTG

Data Scientist

Mclean, VA

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

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Data Scientist Software Engineer information

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

As of Aug 21, 2026, the average yearly pay for 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 data scientist software engineer?

A Data Scientist Software Engineer is a professional who combines expertise in software engineering and data science. They build scalable systems and tools for processing, analyzing, and interpreting large datasets. Their responsibilities often include designing algorithms, developing machine learning models, and deploying data-driven applications. This hybrid role requires strong programming skills, a solid understanding of statistical analysis, and the ability to translate data insights into actionable solutions within software products.

What does a data scientist software engineer do?

Data Scientist Software Engineers often split their time between developing robust data pipelines and building scalable software solutions. A typical day may involve analyzing datasets, creating or refining machine learning models, and then integrating these models into production software environments. They collaborate closely with data analysts, software engineers, and product managers to ensure that data-driven features are both accurate and maintainable. Balancing these responsibilities requires strong time management and communication skills to align technical deliverables with business objectives.

What are the key skills and qualifications needed to thrive as a data scientist software engineer?

To thrive as a Data Scientist Software Engineer, you need strong programming skills (especially in Python, R, or Java), a solid foundation in math and statistics, and a relevant degree (such as computer science, statistics, or engineering). Proficiency with data analysis libraries (like Pandas, NumPy, and scikit-learn), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms and version control systems are highly valued. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating data insights into software solutions. These skills are crucial for building robust, data-driven applications and ensuring impactful business outcomes.

What is the difference between Data Scientist Software Engineer vs Data Engineer?

AspectData Scientist Software EngineerData Engineer
CredentialsBachelor's or Master's in CS, Data Science, or related fields; often includes certifications in machine learning or data analysisBachelor's or Master's in CS, Software Engineering, or related fields; certifications in cloud platforms or data tools are common
Work EnvironmentCollaborates with data scientists and software developers; focuses on building data-driven applications and modelsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data teams and software engineers
Industry UsageUsed across tech, finance, healthcare, and e-commerce sectors for analytics and product developmentPrimarily in organizations managing large-scale data storage, processing, and infrastructure

Data Scientist Software Engineers combine skills in software development and data science to create data-driven applications, whereas Data Engineers focus on building the infrastructure for data storage and processing. Both roles are essential in data-centric organizations but serve different functions within the data ecosystem.

Can a data scientist software engineer work as a data scientist?

A data scientist software engineer can often transition to a data scientist role if they have relevant skills such as statistical analysis, machine learning, and data visualization. Both roles require strong programming skills, typically in Python or R, and familiarity with data tools and frameworks. However, specific job requirements may vary depending on the organization and the complexity of data analysis tasks involved.
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What job categories do people searching Data Scientist Software Engineer jobs look for?

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Data Scientist Software Engineer jobs near you
Infographic showing various Data Scientist Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Senior Data Scientist, Software Engineering

Apple

Cupertino, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, you'll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices all over the world. We collaborate with teams across Apple including Engineering, Product, Marketing and Finance to solve challenges and improve the user experience.
We are looking for an ambitious data scientist that is excited to work with large, complex datasets and shape the future direction of our products.
Description
As a data scientist on the SWE Data Science team, you will use data to drive product decisions and improvements. You will apply quantitative methods and statistical techniques to conduct exploratory data analysis, define new metrics, create compelling data visualizations, and develop analytical frameworks that translate raw data into actionable software development opportunities. You will own the analytical process end-to-end, from architecting and designing scalable and efficient data processing pipelines to conducting deep dive analyses and communicating the results. You will also explore new opportunities to innovate with GenAI and LLMs to accelerate our team's velocity and impact.
We are a fast-paced and high-functioning team of data scientists that use the latest Big Data technologies and GenAI to tackle complex, large-scale problems using immense quantities of collected data. This team works closely with core operating systems (iOS, macOS, iPadOS, watchOS and visionOS), application development, and other cross-functional teams across Apple's platforms. The ideal candidate has a strong technical background and is excited to work on a collaborative and innovative team.
Minimum Qualifications
Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.
Strong proficiency in SQL and at least one programming language, such as Python or R, and experience with data visualization platforms (e.g. Tableau, Looker).
3+ years of data science or related experience, preferably in a consumer tech company.
Strong fundamentals in data engineering, product analytics, statistics, and machine learning.
Experience with distributed computing frameworks like Spark, Hadoop or Flink.
Excellent interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
Self-motivated and intellectually curious, with a demonstrated ability to thrive in ambiguous problem spaces.
Preferred Qualifications
Experience with LLM-driven workflows or leveraging GenAI to augment and improve Data Science workflows.
Experience designing and building scalable data systems and pipelines to support complex, large-scale analytics initiatives.
Strong product mindset and commitment to improving the user experience.

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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