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Remote Data Science R Jobs in Kansas City, MO (NOW HIRING)

Senior Data Engineer

Kansas City, MO ยท On-site +1

$103K - $140K/yr

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Experience with R language preferred. * Extreme attention to detail and accuracy a must.

Senior Data Engineer

Kansas City, MO ยท Remote

$103K - $140K/yr

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Experience with R language preferred.โ€ฏ * Extreme attention to detail and accuracy a must.โ€ฏ

Senior Data Engineer

Kansas City, MO ยท Remote

$103K - $140K/yr

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Experience with R language preferred. * Extreme attention to detail and accuracy a must.

Senior Data Engineer

Kansas City, MO ยท Remote

$103K - $140K/yr

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Experience with R language preferred. * Extreme attention to detail and accuracy a must.

Wetland Scientist

Leawood, KS ยท On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Bachelor's degree in environmental science, ecology, botany, soil science, or a related field. * 5 ...

Wetland Scientist

Leawood, KS ยท On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Bachelor's degree in environmental science, ecology, botany, soil science, or a related field. * 5 ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Tableau Analyst

Kansas, KS ยท On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Collaborate with data engineers and data scientists on the central data team to improve the quality ...

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Showing results 1-20

Remote Data Science R information

See Kansas City, MO salary details

$36.6K

$119.8K

$191.8K

How much do remote data science r jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data science r in Kansas City, MO is $119,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
Senior Data Engineer

Senior Data Engineer

CRB

Kansas City, MO โ€ข On-site, Remote

$103K - $140K/yr

Full-time

Posted 27 days ago


Job description

Company Description
CRB's over 1,100 expert professionals drive innovative, life-changing and life-saving solutions for manufacturers in the life sciences and food and beverage industries. Our mission, vision, and core values put client satisfaction and employee experience at the center of everything we do.
As an AEC Firm we proudly specialize in industries that inherently carry important social responsibility - we recognize our impact and influence in the communities we serve and pursue corporate responsibility through the lens of people, community, and planet. From oncology and rare disorders to COVID-19 or alternative proteins, our design and construction projects are pioneering solutions addressing important issues such as food scarcity and global health.
Job Description
CRB is looking for an energetic, self-motivated, pro-active, organized, and well-rounded individual that has a good understanding of Microsoft's data, reporting, and business intelligence tools to assist in delivering on our internal data and business intelligence initiatives.
The successful candidate must possess the skills required to successfully execute project tasks, have a strong work ethic, and be a dynamic team player. This person will be expected to plan and execute multiple, simultaneous, large or long duration projects. In addition to project work, this individual will work with peers to assist in the identification, planning, and delivery of strategic infrastructure and analytical capabilities that will provide actionable information to the business.
  • Elicit data related business requirements from stakeholders and develop or approve associated technical specifications.
  • Design, implement, and maintain ETL processes to facilitate warehousing and systems integration needs.
  • Develop and enhance data models to deliver value to the organization.
  • Maintain, monitor, optimize, and troubleshoot/resolve issues with existing processes.
  • Contribute to the development of standard methods and best practices for the transformation and preparation of data for reporting, analytics, and self-service activities.
  • Contribute to reporting and visualization projects as needed.
  • Apply data team best practices regarding documentation, access, and security.
  • Participate in discipline related internal and external project communication and coordination.
  • Implement data quality checks and validation processes.
  • Incorporate data classification into ETL processes and data masking techniques to ensure model security.
  • Elicit and participate in code reviews with other members of the team.
  • Ensure the accuracy, completeness, and reliability of data used for analysis.
  • Design and implement robust data architectures to support scalable and maintainable data pipelines.
  • Research and adopt new technologies and methodologies to keep the data infrastructure modern and efficient.
  • Develop strategies for integrating data from disparate sources into a cohesive and comprehensive data ecosystem.
  • Automate data processes to improve efficiency and reduce manual intervention.
  • Ensure compliance of data protection regulations and ensure confidentiality of sensitive information.
  • Mentor junior data engineers and contribute to their professional growth within the organization.
  • Travel as required for project development and execution.

Qualifications
  • Bachelor's Degree or equivalent experience.
  • 7+ years of experience working with Microsoft SQL databases and warehousing tools, including SQL Server, Azure SQL, and Synapse SQL.
  • 2+ years' recent experience with Microsoft Fabric.
  • 7+ years of experience developing ETL processes using Microsoft technologies, such as SSIS, Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
  • 7+ years' experience developing Microsoft Analysis Services Tabular, Power BI, or Fabric semantic data models.
  • Experience leveraging medallion architecture design patterns.
  • Proficiency using Azure Gen2 Storage, Synapse, Fabric, Spark Notebooks, REST API's, Databricks and related technologies.
  • Expert proficiency in Data Warehousing methodologies and concepts to store and model the data (Kimball).
  • Expert proficiency authoring SQL queries, tables, views, stored procedures, and functions.
  • Experience using software development management tools such as Azure DevOps.
  • Experience using Python and PowerShell required.
  • Experience with provisioning data related resources and components in Azure preferred.
  • Experience with Redgate Monitoring or Azure Log Analytics is a plus.
  • Familiarity with D365 ERP modules (e.g., Finance and Operations, Customer Engagement) preferred.
  • Understanding of D365 data structures, entities, and integration points preferred.
  • Experience with R language preferred.
  • Extreme attention to detail and accuracy a must.
  • Excellent verbal/written communication skills required.
  • Comfortable working and collaborating within a fully remote team.
  • Microsoft DP-700 Certification is a plus.

Additional Information
All your information will be kept confidential according to EEO guidelines.
CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening.
CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails.
CRB offers a complete and competitive benefit package designed to meet individual and family needs.
If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.