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Remote Data Science Jobs in Omaha, NE (NOW HIRING)

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Data Center COE Project Manager

Bennington, NE · Remote

$123K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

This role is hybrid, 4 days in office, 1 day remote. As a Sales Reporting Consultant you'll move ... Master's degree in statistics, data science, analytics, or MBA. * Prior experience on a sales desk ...

Showing results 21-40

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 Omaha, NE?

The most popular types of Data Science jobs in Omaha, NE are:

What job categories do people searching Remote Data Science jobs in Omaha, NE look for?

The top searched job categories for Remote Data Science jobs in Omaha, NE are:

Infographic showing various Remote Data Science job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Mgr Health & Business Analytics

Blue Cross and Blue Shield of Nebraska

Omaha, NE • On-site, Remote

Full-time

Posted 16 days ago


Blue Cross & Blue Shield Of Nebraska rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

206th of 311 rated insurance


Job description

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve.

Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there's no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you'll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community.

The Manager Health & Business Analytics is responsible for the use of data and analytics to ensure implementation of company strategy. Responsibilities include guiding the Business Analytics and Data Governance teams to deliver quality technology solutions using Agile practices that effectively meet enterprise needs as well as architectural & security standards to ensure cost effective, stable, secure and maintainable systems.

The ideal candidate will live within driving distance of the Omaha, Nebraska office. This position allows remote flexibility but will have 1 day per week in the office.

What you'll do:

  • Lead Operational Analytics and Data Governance teams, fostering a culture of high performance, accountability, collaboration, and innovation.
  • Partner with business leaders, data engineering, and governance teams to translate organizational priorities into scalable analytics solutions and measurable business outcomes.
  • Drive the organization's transition from traditional reporting to a domain-owned, certified data product model built on a lakehouse platform.
  • Develop and maintain roadmaps, intake processes, prioritization frameworks, and governance standards that align analytics investments with enterprise objectives.
  • Champion data governance practices including data quality, metadata management, lineage, access controls, and stewardship through technologies such as Unity Catalog.
  • Support enterprise AI governance initiatives by ensuring transparency, auditability, compliance, and responsible use of analytics and AI-enabled solutions.
  • Lead the adoption of self-service analytics, automation, and standardized metrics to improve operational efficiency and reduce manual reporting.
  • Contribute to the development of the organization's analytics vision through thought leadership, cross-functional collaboration, and strategic partnership with senior leaders.
  • Manage team performance, talent development, succession planning, budgeting, coaching, and employee engagement.

To be considered for this position, you must have:

  • Bachelor's degree in Analytics, Information Management, Computer Science, Business, Healthcare Administration, or a related field, or equivalent work experience.
  • 6+ years of experience leading analytics, business intelligence, data strategy, or data governance initiatives.
  • 3+ years of people leadership experience managing analytics, data, or technology professionals.
  • Experience partnering with business stakeholders to translate operational and strategic needs into analytics solutions.
  • Strong understanding of data management principles, governance practices, and enterprise analytics delivery.
  • Demonstrated experience leading cross-functional initiatives involving business teams, data engineering teams, and technology stakeholders.
  • Ability to establish priorities, manage competing demands, and drive execution across multiple business domains.
  • Extensive business knowledge with the ability to align analytics strategies to organizational goals and operational performance.

The strongest candidates will also have:

  • Master's degree in Analytics, Data Science, Information Systems, Healthcare Administration, Business Administration, or a related field.
  • Experience supporting healthcare operations, health insurance, managed care, payer analytics, or regulated healthcare environments.
  • Experience implementing or managing enterprise data governance programs, including metadata management, data quality, lineage, stewardship, and access controls.
  • Experience with Databricks, modern cloud analytics platforms, or data product operating models.
  • Experience leading Agile teams and managing analytics product roadmaps.
  • Knowledge of AI governance, responsible AI practices, model monitoring, compliance, and auditability requirements.
  • Experience building certified data products, governed semantic layers, standardized metrics, and self-service analytics capabilities.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.Ready to make an impact? Join a team where your skills, attitude, and ideas are valued-and where you'll help shape the future of healthcare technology.Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.

Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.

We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.


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