ZipRecruiter

Log In

2

Remote Data Scientist Jobs in McKees Rocks, PA (NOW HIRING)

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$102K - $139K/yr

Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Epistemix

Senior Back End Software Engineer

Pittsburgh, PA · Remote

$125K - $165K/yr

Demonstrated experience or strong understanding of data science orchestration platforms, such as ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

We are experts in manufacturing data architectures and MES solutions. In our solutions we use open ... Formal education in engineering, computer science, or automation is preferred but we prioritize ...

CivicScience

Market Research Analyst

Pittsburgh, PA · On-site +1

... data science, social science, or a related field * Strong understanding of survey research ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

CivicScience

Market Research Analyst

Pittsburgh, PA · Remote

... data science, social science, or a related field * Strong understanding of survey research ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

previous page

Showing results 41-60

All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in McKees Rocks, PA

Remote Data Scientist information

See McKees Rocks, PA salary details

$35.3K

$115.4K

$184.7K

How much do remote data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data scientist in McKees Rocks, PA is $115,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $127,900.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in McKees Rocks, PA?

The most popular types of Data Scientist jobs in McKees Rocks, PA are:

What are popular job titles related to Remote Data Scientist jobs in McKees Rocks, PA?

For Remote Data Scientist jobs in McKees Rocks, PA, the most frequently searched job titles are:

What cities near McKees Rocks, PA are hiring for Remote Data Scientist jobs?

Cities near McKees Rocks, PA with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in McKees Rocks, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,389 per year, or $55.5 per hour.

Senior Data Engineer

Karoo Health

Pittsburgh, PA • On-site, Remote

$102K - $139K/yr

Full-time

Re-posted 7 days ago

Job description

An Industry Defining Company
Karoo is a venture-backed startup, prior to Series A, on a mission to transform cardiovascular care. Our platform is designed to empower large provider groups and health systems to succeed in value-based care contracts with payers by improving patient outcomes and reducing cost of care through better coordination, analytics, and disease management. While our initial focus is cardiology, we are building a scalable operating system for managing complex conditions across the healthcare spectrum.
This is a rare opportunity to join a mission-driven founding team at a pivotal stage and help define the future of healthcare technology, with the power to improve the lives of patients with cardiovascular disease, the number one cause of death in America today.
The Role
Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter.
In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward.
When applying, please include a description of why you're interested in this role.
What You'll Do
  • Design and Architect Data Systems: Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture.
  • Develop Data Pipelines: Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large volumes of healthcare data.
  • Data Quality and Governance: Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics.
  • Performance Optimization: Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval.
  • Cloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices.
  • Safeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices.

What We're Looking For
  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
  • Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within a startup or fast-paced healthcare technology environment.
  • Expert proficiency in SQL and at least one programming language used for data processing (Python or Scala).
  • Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake).
  • Demonstrated hands-on experience with Big Data processing frameworks like Apache Spark or Dask.
  • Deep understanding of cloud platforms (AWS preferred) and cloud-native development, including services like S3, Lambda, and RDS.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions for managing data pipelines.
  • Expert knowledge of system architecture, scalability, and performance optimization for data systems.
  • Experience with test automation, CI/CD, and DevOps best practices for data deployments.
  • Ability to work independently and make high-impact technical decisions.
  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future

Why Join Us
  • Competitive salary and equity in an early-stage startup.
  • Opportunity to define the technical solution from the ground up
  • Possibly fully remote work environment with flexible hours
  • Health benefits, learning stipends, and professional development support
  • A collaborative and transparent company culture that values creativity and ownership

Equal Opportunity Statement
At Karoo Health Inc ("Karoo"), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more.
Karoo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind.
Employment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond.
We're committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all.
Karoo Health welcomes all.
In the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. To learn more about Karoo Health's benefits, please contact our People Team.

Apply