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Remote Amazon Data Science Jobs in Missouri (NOW HIRING)

Jobgether

This role offers an opportunity to combine biological science, data management, and digital ... Europe-remote working arrangement. * International and multidisciplinary working environment.

Kohl's

$95K - $131K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

GRVTY

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

... image science methods, and multi-platform remote sensing analytics. The work is fast-paced and ... Analyze optical signature data to extract target phenomenology, characterize signatures, and ...

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

Solventum

Medical Science Specialist

Saint Louis, MO · On-site +1

$187K - $257K/yr

You will be responsible for communicating complex clinical data, supporting investigator-initiated ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

Kohl's

$112K - $148K/yr

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products What Skills You Have Required * 4+ years of experience in software ...

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 ...

All Generation Tech

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ... Bachelor's or Master's degree in Computer Science, Information Systems, or a related field is ...

Jobgether

$24K/mo

Fully remote work arrangement. * Professional Growth: Opportunity for an early-career professional to strengthen expertise across supply chain analytics, data science, AI/ML, and cloud technologies.

New

Healthcare

Medical Science Specialist

Saint Louis, MO · Remote

$187K - $257K/yr

You willbe responsible forcommunicating complex clinical data, supporting investigator-initiated ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Assess potential differences in metadata, data format, and data structure characteristics in regard ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Jobgether

Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related ... Fully remote work environment with the ability to work from an authorized home location.

New

Workiva

$40/hr

A solid foundation in computer science, with competencies in data structures, algorithms, and ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

A solid foundation in computer science, with competencies in data structures, algorithms, and ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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All JobsAmazon Data Science JobsRemote Amazon Data Science JobsRemote Amazon Data Science Jobs in Missouri

Remote Amazon Data Science information

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

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

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The most popular types of Amazon Data Science jobs in Missouri are:

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For Remote Amazon Data Science jobs in Missouri, the most frequently searched job titles are:

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Remote Amazon Data Science jobs near you

Development Data & Biological Assessment Specialist

Jobgether

On-site, Remote

Full-time

Posted 5 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 Development Data & Biological Assessment Specialist based in Netherlands.

This role offers an opportunity to combine biological science, data management, and digital innovation within global agricultural product development.
You will help ensure biological development data is accurate, accessible, reliable, and ready to support critical decisions.
The position spans data quality, analysis, reporting, dossier coordination, regulatory readiness, and cross-functional collaboration.
You will contribute throughout the product development lifecycle, from project initiation and seasonal reviews through Biological Assessment Dossier preparation and submission.
Working with technical, regulatory, and development stakeholders, you will help identify risks and turn complex data into actionable insights.
You'll also have the opportunity to improve processes through automation, dashboards, visualization, and AI-enabled solutions.
This is a strong opportunity for a scientifically minded data professional who enjoys working across disciplines in an international environment.

Accountabilities
  • Drive the quality, integrity, validation, and accessibility of biological development data by conducting data quality checks, resolving issues, and managing trial data from multiple sources.
  • Collect, prepare, analyze, and present biological data to support seasonal results reviews, Biological Assessment Dossier preparation, and data-driven product development decisions.
  • Lead and coordinate Biological Assessment Dossier activities from project initiation through submission, tracking timelines, deliverables, data readiness, dependencies, and potential risks.
  • Proactively identify project risks and develop appropriate mitigation actions to keep biological assessment activities on track.
  • Collaborate with regional technical managers, regulatory stakeholders, and multidisciplinary development teams to provide biological data expertise and support regulatory readiness.
  • Contribute to the preparation and delivery of high-quality biological assessment documentation throughout the product development lifecycle.
  • Identify opportunities to automate processes, optimize workflows, and standardize biological data management practices across development activities.
  • Develop dashboards, data visualizations, and AI-enabled solutions that improve project tracking, data accessibility, reporting, and operational efficiency.
  • Support the implementation of strong data management and governance practices while continuously improving the reliability and usability of biological information.
Requirements
  • Bachelor's or Master's degree in Crop Science, Biology, Agronomy, Agricultural Sciences, Life Sciences, Biotechnology, Data Science, or a related discipline.
  • Professional experience in biological data management, R&D data support within crop science, Biological Assessment Dossier preparation, or multidisciplinary project coordination.
  • Experience working with biological or agricultural datasets from multiple sources and applying data quality, validation, and governance principles.
  • Strong data analytics, reporting, and visualization capabilities, with familiarity with data management systems and tools.
  • Working knowledge of plant protection regulations, product registration requirements, or biological dossier preparation.
  • Experience with SQL and/or Power BI is an advantage.
  • Strong analytical and problem-solving skills, with the ability to identify data issues, investigate their causes, and develop practical solutions.
  • Excellent organizational and project coordination skills, including the ability to manage timelines, deliverables, risks, and multiple stakeholders.
  • Strong stakeholder management and communication abilities, with confidence collaborating across technical, regulatory, and international teams.
  • Interest in AI, automation, digital innovation, and continuous process improvement, combined with a proactive and collaborative mindset.
Benefits
  • Opportunity to contribute to data-driven innovation within global agricultural and crop protection product development.
  • Europe-remote working arrangement.
  • International and multidisciplinary working environment.
  • Exposure to biological research, regulatory processes, data management, and digital transformation.
  • Opportunity to work with modern analytics, visualization, automation, and AI-enabled solutions.
  • Meaningful involvement across the full product development lifecycle.
  • Collaborative environment with technical, regulatory, and development professionals.
  • Opportunities to improve processes, introduce new technologies, and influence operational excellence.
  • Professional development through exposure to global projects and cross-functional initiatives.
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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