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Data Scientist R Remote Jobs in Missouri (NOW HIRING)

Jobgether

$49.25 - $63.25/hr

Bachelor's degree in Computer Science, Information Systems, or related field preferred, or ... Fully remote engagement with flexible working arrangements. * Opportunity to architect a next ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ...

Jobgether

Partner with Product, Analytics, Data Science, Machine Learning, and engineering leadership to ... Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful ...

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Bridge the gap between data consumers (analysts, data scientists, product managers) and the ...

SS&C

Data Platform Software Engineer

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (Remote Eligible) Company Overview : SS&C is a global leader in investment and ... Bachelor's orMaster's degree in Computer Science, Data Engineering, ora relatedfield. Experience ...

Meridial

$8 - $65/hr

With high-quality training data, tomorrow's AI can democratize world-class education, keep pace ... Remote Seniority level: Mid - Senior Level

Xcellent Technology

Database Engineer - Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer (Remote) As a Database Engineer, you will help design, support, and optimize the ... If you are motivated by solving complex data challenges and supporting mission driven science ...

Xcellent Technology

Database Engineer | Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer | Remote As a Database Engineer, you will help design, support, and optimize the ... If you are motivated by solving complex data challenges and supporting mission driven science ...

Jobgether

Experience using Python or R for statistical analysis and data modeling. * Experience building ... Fully remote full-time work opportunity. * 7 additional wellness days each year to support your ...

New

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... We thrive on collaborative innovation, where data scientists, engineers, and product experts ...

Jobgether

Our partner is looking for a Head of Data Engineering based in Netherlands. This role offers the ... Advanced degree in Computer Science, Engineering, or a related field is a plus. Benefits: * Remote ...

Jobgether

Fully remote work with flexibility from anywhere. * Opportunity to shape and grow a global science ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

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All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Missouri

Data Scientist R Remote information

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Missouri? For Data Scientist R Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Missouri look for? The top searched job categories for Data Scientist R Remote jobs in Missouri are:
What cities in Missouri are hiring for Data Scientist R Remote jobs? Cities in Missouri with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you

Data Architect (Contractor)

Jobgether

Remote

$49.25 - $63.25/hr

Contractor

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Architect (Contractor) based in Netherlands.

This is a high-impact, short-term contract role focused on designing and delivering a unified data and analytics platform that consolidates fragmented music industry data into a single, queryable system. You will define the architecture that connects revenue, royalties, audience, and operational datasets into a coherent BigQuery-based warehouse. The role requires deep expertise in data modeling, system integration, and entity resolution across complex, inconsistent sources. You will work closely with engineers, business stakeholders, and executives to translate business definitions into scalable data structures. A key focus will be resolving conflicting data across platforms and establishing trusted metrics and governance rules. This role is highly collaborative and requires strong architectural ownership in a fast-moving, ambiguous environment. It is ideal for someone who enjoys solving complex integration challenges at scale.

Accountabilities:
  • Design and own the end-to-end data warehouse architecture in BigQuery, including schemas, transformation layers, semantic conventions, and access patterns.
  • Lead cross-system data integration efforts, including entity resolution, aggregation, and reconciliation across multiple external platforms with inconsistent identifiers and data formats.
  • Define business metric logic, source-of-truth rules, and exception handling frameworks in collaboration with finance, marketing, operations, and executive stakeholders.
  • Lead a small delivery team of engineers and contractors, guiding implementation of data pipelines, transformation logic, and analytics-ready datasets.
  • Establish standards for data quality, testability, observability, and monitoring across the analytics platform to ensure reliability and trust.
  • Evaluate and select transformation tools (e.g., dbt, SQLMesh, Dataform), making clear trade-off decisions based on system needs.
  • Translate business requirements into scalable data models and enforce architectural consistency across downstream analytics and reporting systems.
Requirements:
  • 3-8+ years of experience in data engineering, analytics engineering, or data architecture with proven ownership of production-grade systems.
  • Strong experience designing scalable data models, integrating multiple heterogeneous data sources, and making end-to-end architectural decisions.
  • Deep expertise in data integration challenges including entity matching, aggregation logic, and reconciliation of conflicting data across systems.
  • Experience integrating 5+ external SaaS platforms via APIs, exports, or third-party connectors in production environments.
  • Strong programming and systems thinking skills, with the ability to independently design, debug, and optimize data pipelines and architectures.
  • Demonstrated leadership experience guiding engineers through ambiguous, complex data integration projects.
  • Excellent communication skills with the ability to work across technical teams, analysts, and executive stakeholders.
  • Bachelor's degree in Computer Science, Information Systems, or related field preferred, or equivalent practical experience.
  • Familiarity with music industry data, financial attribution models, or AI-augmented analytics systems is a strong plus.
Benefits:
  • Competitive contractor compensation aligned with experience and project scope.
  • Fully remote engagement with flexible working arrangements.
  • Opportunity to architect a next-generation analytics platform in the music and entertainment industry.
  • High-impact role with direct visibility to executive leadership and strategic decision-making.
  • Exposure to complex multi-source data systems and advanced entity resolution challenges.
  • Potential to shape future AI-augmented analytics and reporting products.
  • Collaborative environment working with cross-functional and multidisciplinary teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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