Remote Data Science Engineer Jobs
Remote Data Science Engineer jobs are open across the U.S. in sectors like technology, financial services, and healthcare, at remote-first companies and distributed engineering teams that hire from anywhere. Employers hiring remotely right now include Liberty Mutual Insurance, ZS Associates, and PrizePicks. Find a role that fits below and apply directly.
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INTRODUCTION
Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.
At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:
- Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
- Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
- Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
- Onsite: daily onsite requirement based on the essential functions of the job
- Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building
Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.
This remote work opportunity requires residency, and work to be performed, within the State of Arizona.
PURPOSE:
- Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions.
QUALIFICATIONS
REQUIRED QUALIFICATIONS
Required Work Experience
- 1 year of experience in data analysis using analytic tools and processes (Level 1)
- 3 years of experience in data analysis using analytic tools and processes (Level 2)
- 3 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3)
- 5 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4)
Required Education
- Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels)
Required Licenses
- N/A
Required Certifications
- N/A
PREFERRED QUALIFICATIONS
Preferred Work Experience
- 1 year of experience in data analysis working for a healthcare organization/health insurer (Level 1)
- 3 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Level 2)
- 5 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Levels 3, 4)
Preferred Education
- Master’s Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels)
Preferred Licenses
- N/A
Preferred Certifications
- N/A
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES
Level 1
- Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation
- Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions
- Identify, analyze, interpret and validate healthcare data metrics, trends and patterns
- Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
- Model financial impact analyses for a variety of business initiatives
- Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
- Act as liaison to both internal business partners and external providers or vendors
- Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.
- Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making.
- Complete projects within preset timelines and report status to supervisor and project manager.
- Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity.
- Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors).
Level 2
- Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas
- Perform complex analyses and interpret complex calculations to recommend actions and solutions
- Develop financial models needed to accomplish analytic goals
- Serve as subject matter expert for internal stakeholders
- Design and deliver self-service business intelligence tools to internal customers
- Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager.
- Effectively communicate results and recommendations to internal and external customers.
- Provide self- and peer-review of job responsibilities
- Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts.
- Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager.
Level 3
- Create and research analyses and recommendations which help achieve corporate initiatives and goals
- Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications
- Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling
- Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns.
- Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review.
- Train and mentor other analysts.
Level 4
- Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues.
- Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources.
- Review results post-implementation to ensure projections are realized and recommend modifications as applicable.
- Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction.
- Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services.
ALL LEVELS
- Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
- The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
- Perform all other duties as assigned.
COMPETENCIES
REQUIRED COMPETENCIES
Required Job Skills (Applies to All Levels)
- Intermediate PC proficiency
- Intermediate proficiency in database, presentation, spreadsheet and word processing software
- General proficiency in mathematical concepts
- Intermediate proficiency in computer programming, including SAS and other business intelligence programs
- Intermediate understanding of data management principles
- Advanced skills in mathematics and statistics (Applies to Levels 2 – 4)
- Intermediate skill with SAS/SQL programming (Applies to Levels 2 – 4)
- Advanced understanding of data management principles (Level 3-4)
- Proficiency in SAS Enterprise Business Intelligence software (Level 3-4)
- Intermediate skill with data visualization tools, such as Tableau (Level 3-4)
Required Professional Competencies (Applies to All Levels)
- General knowledge of the healthcare industry
- Broad understanding of health insurance terms and concepts
- Analytical knowledge necessary to generate analytic solutions
- Ability to solve problems independently and draw accurate conclusions from data using basic analytic techniques
- Ability to deal with ambiguity and make recommendations with less than complete or conflicting information
- Skill in prioritizing tasks and working with multiple priorities, sometimes under limited time constraints
- Ability to maintain confidentiality and privacy
- Ability to communicate effectively, both orally and in writing, to all levels in all departments
- Ability to distill and communicate financial levers and impacts to non-technical audiences
- Ability to build and maintain productive working relationships with others
- Proactive about requesting enough information to fully understand and meet the business need.
Required Leadership Experience and Competencies (Applies to All Levels)
- N/A
PREFERRED COMPETENCIES
Preferred Job Skills (Applies to All Levels)
- Advanced proficiency in spreadsheet, database and word processing software
- Intermediate proficiency with data warehouses and query tools/design
- Intermediate skill with data visualization tools, such as Tableau
- Intermediate proficiency with development, testing, and management of Tableau Dashboards
- Intermediate understanding of data management principles
- Advanced skill in database, spreadsheet, business intelligence, statistical, and data cubing software
- Familiarity with provider network design processes and strategies
- Knowledge of health benefit design and rating techniques
- Advanced skills in mathematics and statistics
- Proficiency in SAS Enterprise Business Intelligence software
- Advanced understanding of data management principles
Preferred Professional Competencies (Applies to All Levels)
- Project management skill needed to create timelines, track deliverables and progress, resolve issues, and communicate project status
Preferred Leadership Experience and Competencies (Applies to All Levels)
- Ability to engage and collaborate with team members and business stakeholders at all levels of the organization
- Ability to make decisions in a timely manner, sometimes with incomplete information and under tight deadlines
- High standard of performance while pursuing aggressive goals
- Principled leadership and sound business ethics
Our Commitment
AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.
Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.
INTRODUCTION
Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.
At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:
- Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
- Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
- Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
- Onsite: daily onsite requirement based on the essential functions of the job
- Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building
Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.
This remote work opportunity requires residency, and work to be performed, within the State of Arizona.
PURPOSE:
- Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions.
QUALIFICATIONS
REQUIRED QUALIFICATIONS
Required Work Experience
- 1 year of experience in data analysis using analytic tools and processes (Level 1)
- 3 years of experience in data analysis using analytic tools and processes (Level 2)
- 3 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3)
- 5 years of experience working for a healthcare organization/health insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4)
Required Education
- Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels)
Required Licenses
- N/A
Required Certifications
- N/A
PREFERRED QUALIFICATIONS
Preferred Work Experience
- 1 year of experience in data analysis working for a healthcare organization/health insurer (Level 1)
- 3 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Level 2)
- 5 years of experience working for a healthcare organization/health insurer, including development of business analytics and financial impact analyses (Levels 3, 4)
Preferred Education
- Master’s Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels)
Preferred Licenses
- N/A
Preferred Certifications
- N/A
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES
Level 1
- Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation
- Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions
- Identify, analyze, interpret and validate healthcare data metrics, trends and patterns
- Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
- Model financial impact analyses for a variety of business initiatives
- Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
- Act as liaison to both internal business partners and external providers or vendors
- Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.
- Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making.
- Complete projects within preset timelines and report status to supervisor and project manager.
- Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity.
- Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors).
Level 2
- Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas
- Perform complex analyses and interpret complex calculations to recommend actions and solutions
- Develop financial models needed to accomplish analytic goals
- Serve as subject matter expert for internal stakeholders
- Design and deliver self-service business intelligence tools to internal customers
- Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager.
- Effectively communicate results and recommendations to internal and external customers.
- Provide self- and peer-review of job responsibilities
- Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts.
- Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager.
Level 3
- Create and research analyses and recommendations which help achieve corporate initiatives and goals
- Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications
- Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling
- Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns.
- Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review.
- Train and mentor other analysts.
Level 4
- Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues.
- Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources.
- Review results post-implementation to ensure projections are realized and recommend modifications as applicable.
- Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction.
- Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services.
ALL LEVELS
- Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
- The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
- Perform all other duties as assigned.
COMPETENCIES
REQUIRED COMPETENCIES
Required Job Skills (Applies to All Levels)
- Intermediate PC proficiency
- Intermediate proficiency in database, presentation, spreadsheet and word processing software
- General proficiency in mathematical concepts
- Intermediate proficiency in computer programming, including SAS and other business intelligence programs
- Intermediate understanding of data management principles
- Advanced skills in mathematics and statistics (Applies to Levels 2 – 4)
- Intermediate skill with SAS/SQL programming (Applies to Levels 2 – 4)
- Advanced understanding of data management principles (Level 3-4)
- Proficiency in SAS Enterprise Business Intelligence software (Level 3-4)
- Intermediate skill with data visualization tools, such as Tableau (Level 3-4)
Required Professional Competencies (Applies to All Levels)
- General knowledge of the healthcare industry
- Broad understanding of health insurance terms and concepts
- Analytical knowledge necessary to generate analytic solutions
- Ability to solve problems independently and draw accurate conclusions from data using basic analytic techniques
- Ability to deal with ambiguity and make recommendations with less than complete or conflicting information
- Skill in prioritizing tasks and working with multiple priorities, sometimes under limited time constraints
- Ability to maintain confidentiality and privacy
- Ability to communicate effectively, both orally and in writing, to all levels in all departments
- Ability to distill and communicate financial levers and impacts to non-technical audiences
- Ability to build and maintain productive working relationships with others
- Proactive about requesting enough information to fully understand and meet the business need.
Required Leadership Experience and Competencies (Applies to All Levels)
- N/A
PREFERRED COMPETENCIES
Preferred Job Skills (Applies to All Levels)
- Advanced proficiency in spreadsheet, database and word processing software
- Intermediate proficiency with data warehouses and query tools/design
- Intermediate skill with data visualization tools, such as Tableau
- Intermediate proficiency with development, testing, and management of Tableau Dashboards
- Intermediate understanding of data management principles
- Advanced skill in database, spreadsheet, business intelligence, statistical, and data cubing software
- Familiarity with provider network design processes and strategies
- Knowledge of health benefit design and rating techniques
- Advanced skills in mathematics and statistics
- Proficiency in SAS Enterprise Business Intelligence software
- Advanced understanding of data management principles
Preferred Professional Competencies (Applies to All Levels)
- Project management skill needed to create timelines, track deliverables and progress, resolve issues, and communicate project status
Preferred Leadership Experience and Competencies (Applies to All Levels)
- Ability to engage and collaborate with team members and business stakeholders at all levels of the organization
- Ability to make decisions in a timely manner, sometimes with incomplete information and under tight deadlines
- High standard of performance while pursuing aggressive goals
- Principled leadership and sound business ethics
Our Commitment
AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.
Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.
See All 64 Remote Data Science Engineer Jobs
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Find JobsRemote Data Science Engineer Job Market
Who's Hiring
- Liberty Mutual Insurance14
- ZS Associates5
- PrizePicks4
- Netflix2
- Turquoise2
Top Industries Hiring
- Insurance16
- Technology & Software9
- Consulting & Professional Services7
- Retail3
- Banking & Financial Services3
What Employers Look For
The qualifications that appear most often in remote data science engineer jobs.
- Proficiency in Python with experience building production-grade data and ML pipelines
- Hands-on experience with distributed computing frameworks such as Apache Spark or Flink
- Experience deploying and monitoring machine learning models in cloud environments like AWS, GCP, or Azure
- Familiarity with MLOps tooling including feature stores, model registries, and workflow orchestrators
- Bachelor's or master's degree in computer science, data engineering, statistics, or a related field
- Experience with containerization and orchestration tools such as Docker and Kubernetes
Tips for Your Remote Data Science Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data science engineer openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through listings mixed with on-site or hybrid work.
Build a portfolio that shows end-to-end ownership
Remote employers can't watch you work, so your portfolio does the talking. Publish projects that go from raw data to a deployed model or production pipeline, with clear documentation explaining your decisions, tradeoffs, and results.
Prove async communication in your application
Distributed teams run on written communication. Write detailed, structured cover notes and include a README-style project summary in your application materials that shows you can explain technical work clearly to engineers and non-technical stakeholders alike.
Target remote-first companies with distributed engineering teams
Remote-first technology companies and distributed product teams hire data science engineers remotely as a default, not an exception. Look for companies whose engineering blogs, job postings, and team pages describe fully distributed or async-first cultures rather than hybrid arrangements.
Prepare for remote-specific interview formats
Remote data science engineer interviews often include asynchronous take-home assessments and written design exercises alongside live coding rounds. Practice explaining your ML system design choices in writing, walking through model evaluation decisions clearly, and structuring technical answers for an async reviewer who can't ask follow-up questions in real time.
Remote Data Science Engineer Jobs: Frequently Asked Questions
How do I get a remote data science engineer job?
Remote data science engineer roles go to candidates who can demonstrate technical depth and independent execution without in-person oversight. Remote-first companies and distributed product teams screen heavily for async written communication, self-directed project management, and hands-on fluency with tools like Python, SQL, Spark, and cloud ML platforms. A portfolio of end-to-end projects, clear documentation, and evidence you've shipped models that drove measurable outcomes gives you a concrete edge over candidates who lack remote work examples.
Which companies hire remote data science engineers?
Employers currently hiring remote data science engineers include Liberty Mutual Insurance, ZS Associates, and PrizePicks, per current remote listings on Migrate Mate as of June 2026. Remote data science engineer roles concentrate at remote-first technology companies, distributed fintech and healthtech teams, and enterprise software firms that run globally distributed engineering organizations.
Can you get a remote data science engineer job with no experience?
Yes, but remote entry-level data science engineer roles are harder to land because employers expect you to contribute independently from day one without on-site mentorship. Early-career candidates who break in typically target remote-first startups, build a public portfolio of end-to-end ML or data pipeline projects, and demonstrate strong async communication through thorough documentation and clear write-ups. Open-source contributions and a completed capstone that shows production-ready thinking open more doors than a degree alone.
Do you need a degree for remote data science engineer jobs?
Not always. Many remote employers weigh a strong project portfolio, demonstrated proficiency in Python, SQL, and ML frameworks, and evidence of shipped work more heavily than a specific degree. A relevant bachelor's or master's in computer science, statistics, or a related field still appears in most job postings, but candidates without one regularly compete successfully by showing real results, published work, and measurable contributions to data or ML systems.
Which industries hire the most remote data science engineers?
Most remote data science engineer openings sit in Insurance, Technology & Software, and Consulting & Professional Services, per current remote listings on Migrate Mate as of June 2026. These sectors hire data science engineers remotely because their core products, research, and analytics infrastructure are fully digital and can be built and maintained by distributed teams working across time zones.
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