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Remote Data Collection Driver Jobs in Missouri (NOW HIRING)

Jobgether

$128K - $148K/yr

Drive the roadmap for data collection through JavaScript-based agents, including instrumentation ... Fully remote working environment with the flexibility to work from an eligible home location.

Jobgether

$11.50 - $15.50/hr

Explain how data collection, annotation, labeling decisions, model training, evaluation, and ... Benefits: * Remote work: Work remotely from Romania or another location compatible with the ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

Customize GIS workflow and software programs for data collection, engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA ...

Wood Plc

GIS Analyst - FEMA

Kansas City, MO · Remote

Customize GIS workflow and software programs for data collection, engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

Jobgether

$66K - $83K/yr

This is a fully remote, collaborative environment where autonomy, initiative, and continuous ... Collaborate closely with data engineers and web analysts to improve the collection, processing, and ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

ComForCare

Assistant & Research Intern

MO · On-site +1

Works toward developing and maintaining data collection, recording, and reporting systems to ensure ... This is a remote position. Live your best life possible while helping others live theirs Our ...

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Remote Data Collection Driver information

What is a remote data collection driver?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a remote data collection driver?

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.

What are some common challenges faced by remote data collection drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What are popular job titles related to Remote Data Collection Driver jobs in Missouri?

For Remote Data Collection Driver jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Collection Driver jobs in Missouri look for?

The top searched job categories for Remote Data Collection Driver jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Collection Driver jobs?

Cities in Missouri with the most Remote Data Collection Driver job openings:

Remote Data Collection Driver jobs near you

Technical Product Manager, Data Capture to Insights

Jobgether

Remote

$128K - $148K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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 Technical Product Manager, Data Capture to Insights based in Netherlands.

As a Technical Product Manager, you will own the end-to-end lifecycle of high-volume device intelligence data, from collection and ingestion through processing, querying, and customer-facing experiences.
You will shape the roadmap across interconnected data and product surfaces, including JavaScript-based data collection, server APIs, analytics dashboards, and MCP experiences.
The role combines strong product management with deep technical fluency in data pipelines, APIs, distributed systems, and analytics products.
You will translate customer needs and business priorities into clear product requirements, thoughtful trade-offs, and scalable solutions.
You will work closely with engineering, product design, marketing, customer success, and other stakeholders to drive products from discovery through launch and adoption.
Your decisions will directly influence how customers collect, access, analyze, and operationalize high-volume behavioral and identity data.
This is an opportunity to make a meaningful impact in a fast-moving, remote-first technology environment focused on solving complex challenges in digital trust and fraud prevention.

Accountabilities
  • Own the end-to-end product lifecycle for device intelligence data, covering data collection, ingestion, storage, processing, querying, reporting, and customer-facing experiences.
  • Drive the roadmap for data collection through JavaScript-based agents, including instrumentation contracts, schema evolution, and reliable delivery to server APIs.
  • Partner with engineering teams to define priorities across ingestion, storage, and processing while balancing reliability, cost, scalability, and performance.
  • Define and prioritize product capabilities across analytics dashboards, server APIs, and MCP query experiences, including query workflows, report templates, data freshness expectations, and export functionality.
  • Lead the customer migration between major versions of server APIs, ensuring a smooth transition and minimizing disruption.
  • Maintain a clear, integrated roadmap across the JavaScript Agent, Server APIs, Dashboard, and MCP Server.
  • Lead quarterly planning, write concise and actionable product requirements documents, manage dependencies, and communicate product trade-offs to stakeholders at all levels.
  • Translate customer feedback, internal requirements, product usage data, and business objectives into prioritized product initiatives and measurable outcomes.
  • Partner with product marketing on launches, including go-to-market timing, messaging, positioning, and post-launch enablement.
  • Coordinate documentation updates, customer education, internal training materials, and best-practice content to support successful adoption of new capabilities.
  • Work closely with engineering, product marketing, customer success, sales, and design teams to ensure product launches are well coordinated and customer needs remain central to execution.
  • Define and monitor product metrics, using quantitative and qualitative data to evaluate performance and inform roadmap decisions.
  • Consider API design as a data-product experience, including query capabilities, payload structures, filtering, pagination, rate limiting, authentication, and regional data residency.
  • Anticipate long-term implications of product and API decisions for enterprise customers, downstream analytics workflows, and product adoption.
Requirements
  • 3+ years of professional product management experience, ideally managing an existing product through a growth, scaling, or transformation phase.
  • Bachelor's degree in any discipline or equivalent practical experience; an MBA or advanced degree is a plus.
  • Strong understanding of big data pipelines and the product considerations surrounding large-scale data collection, storage, processing, and querying.
  • Demonstrated experience managing data analytics products, with experience in identity, anti-fraud, device intelligence, or similar data-intensive platforms being highly desirable.
  • Experience working with event-level data APIs and understanding how high-volume behavioral or identity data is queried and retrieved based on visitors, time ranges, metadata, and other parameters.
  • Strong API-as-a-product mindset, with the ability to assess which query capabilities and payload fields are valuable to enterprise customers and downstream analytics systems.
  • Familiarity with server-side API constraints at scale, including rate limiting, authentication, pagination, regional data residency, and other architectural considerations.
  • Sufficient technical depth to engage credibly with engineers on APIs, architecture, data pipelines, system constraints, and technical trade-offs.
  • Proven ability to manage competing priorities across individual contributors, managers, executives, customers, and other stakeholders while driving alignment without direct authority.
  • Strong customer orientation and a track record of translating customer needs, research findings, sales feedback, or product usage data into shipped product improvements.
  • Experience defining, tracking, and interpreting product metrics and using data to distinguish meaningful signals from noise.
  • Demonstrated experience owning roadmaps and making defensible prioritization and trade-off decisions under resource constraints.
  • Experience partnering with sales and marketing on product launches, positioning, pricing inputs, or other commercial initiatives.
  • Strong communication, analytical, organizational, and stakeholder-management skills.
  • Ability to operate independently and effectively in a distributed, remote-first environment.
  • Experience working with technology products involving high-volume data, analytics, APIs, or enterprise platforms is strongly preferred.
Benefits
  • Fully remote working environment with the flexibility to work from an eligible home location.
  • Opportunity to contribute to products addressing complex challenges in digital trust, identity intelligence, and online fraud prevention.
  • Meaningful ownership over critical data and product experiences with visible impact on customers and business outcomes.
  • International and distributed working environment with opportunities to collaborate across diverse teams and perspectives.
  • Opportunity to work on technically sophisticated products involving large-scale data pipelines, APIs, analytics, and emerging query experiences.
  • Strong cross-functional exposure through collaboration with engineering, product, design, marketing, sales, and customer success teams.
  • Inclusive workplace culture that values diverse experiences, perspectives, and backgrounds.
  • Opportunities for professional growth through ownership of strategic product initiatives and complex technical challenges.
  • Compensation determined according to factors such as hiring location, experience, expertise, education, skills, and market conditions.
  • Candidates must be legally authorized to work from their home location; visa sponsorship is not provided.
  • Access to a remote-first environment designed to support collaboration, autonomy, and meaningful contribution regardless of physical location.
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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