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Remote Data Science Jobs in Dubuque, IA (NOW HIRING)

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 Dubuque, IA?

The most popular types of Data Science jobs in Dubuque, IA are:

What are popular job titles related to Remote Data Science jobs in Dubuque, IA?

For Remote Data Science jobs in Dubuque, IA, the most frequently searched job titles are:

What cities near Dubuque, IA are hiring for Remote Data Science jobs?

Cities near Dubuque, IA with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Dubuque, IA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Operations Specialist

Dupaco Credit Union

Dubuque, IA • On-site, Remote

Full-time

Posted 11 days ago


Job description

The Data Operations Specialist advances the Credit Union’s data capabilities by strengthening governance, improving team operating processes, and ensuring trusted data is delivered through reliable, well-managed releases. This role partners to uphold data standards, manage intake and prioritization, monitor data quality, and maintain clear visibility into work, capacity, and release readiness. Through disciplined process management and a focus on continuous improvement, this position helps to ensure data assets are accurate, compliant, and ready to support informed decision-making and member value.

#DupacoDifference.  https://www.youtube.com/watch?v=Oy_rZxNXcC8

Dupaco Values:

Demonstrates Dupaco Values: Rooted in Trust, Empathetic Understanding, Strengthening Relationships, Advocate for All and Invest in You

You’ll be:

Data Governance and Process Operations Support

  • Support the data governance framework to ensure adherence to data standards, policies, and best practices.
  • Complete governance reviews, managed approvals process and perform compliance tracking.
  • Partner with Data Architecture and the Data Governance Program Manager to maintain consistent data definitions, standards, and lineage.

Data Team Process Execution

  • Partner with Data Team leadership to Design, implement, and improve team operating processes.
  • Align team processes with enterprise standards where applicable.
  • Administer and optimize Jira for the Data & Analytics team.
  • Define and enforce standards for tracking work, releases, and incidents.
  • Report on team performance, throughput, and bottlenecks.

Data Quality and Standards Assurance

  • Facilitate quality assurance reviews to confirm production adherence to data standards.
  • Establish and monitor data quality controls and validation practices.
  • Identify, triage, and coordinate resolution of data quality issues.
  •  Verify certification and trust requirements before data asset  

Intake and Work Management

  • Manage intake for data requests, enhancements, and projects.
  • Triage incoming work to support prioritization and timely action.
  •  Maintain visibility into pipelines, priorities, and capacity.

Release Management

  • Manage the release lifecycle for data pipelines, models, and BI assets.
  • Facilities the production readiness validation and sign-off.
  • Ensure versioning, documentation, and rollback procedures are maintained.
  • Perform other duties as assigned.

You’ll need:

  • Bachelor’s degree in Computer Science, Computer Information Systems or equivalent experience.
  • 3+ years in data operations, data management or related field.
  • Proficient writing SQL queries.
  • Experience working with an ETL (Extract, Transform, Load) tool, strongly preferred.
  • Experience in Snowflake cloud data platform, including performance optimization and security.
  • Experience pulling data from API’s, preferred.
  • Ability to work with both structured and semi-structured data.
  • Ability to solve complex problems.
  • Strong interpersonal and communication (verbal & written) skills.

*This role does not allow for remote work outside of Dubuque, IA and the selected candidate must reside or relocate to this area.