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Remote Data Collection Driver Jobs in Newark, NJ

MhyMatch

Data Scientist

New York, NY · On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a ... Lead data mining and collection strategies to improve data reliability, efficiency, and quality ...

Auberge Collection

Director, Global Sales

Manhattan, NY · On-site +1

$180K - $200K/yr

Company Description Auberge Collection is a portfolio of extraordinary hotels, resorts, safaris ... Establish appropriate remote workstation * Maintain ethical and professional standards of sales ...

University of Rochester

RN, Quality Assurance

New York, NY · On-site +1

$73K - $99K/yr

Remote Work - New York, Albany, New York, United States of America, 12224 Opening: Worker Subtype ... Complete and accurate collection of preoperative, operative and postoperative data through the ...

MLabs

Research Crawling Engineer

New York, NY · Remote

$100K/yr

Remote - Must have a 6 hour overlap with EST Remote | Full-time Compensation: $100K We are hiring ... Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from ...

MLabs

Research Crawling Engineer

New York, NY · On-site +1

$100K/yr

Remote - Must have a 6 hour overlap with EST Remote Full-time Compensation: $100K We are hiring on ... Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Aston Carter

Remote Collections Specialist

Manhattan, NY · On-site +1

$20 - $30/hr

Collections Specialist (Remote - Midwest & East Coast Time Zones Preferred) Position Overview We ... collection activities. * Ensure data integrity across systems while maintaining compliance with ...

Wood Plc

GIS Analyst

New York, NY · 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 ...

UMT - Internal

Sr. Data Strategist

New York, NY · On-site +1

$100K - $125K/yr

Please note that this role demands four days in the office and one day remote. What You'll Do ... Creative thinking in data collection, manipulation, and application * Track record of cross ...

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All JobsData Collection Driver JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Newark, NJ

Remote Data Collection Driver information

See Newark, NJ salary details

$16

$26

$33

How much do remote data collection driver jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote data collection driver in Newark, NJ is $26.46, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $27.16 per hour, depending on experience, location, and employer.

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 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 are Remote Data Collection Drivers?

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, and why are they important?

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 the most commonly searched types of Data Collection Driver jobs in Newark, NJ? The most popular types of Data Collection Driver jobs in Newark, NJ are:
What are popular job titles related to Remote Data Collection Driver jobs in Newark, NJ? For Remote Data Collection Driver jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Newark, NJ look for? The top searched job categories for Remote Data Collection Driver jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Remote Data Collection Driver jobs? Cities near Newark, NJ with the most Remote Data Collection Driver job openings:
Remote Data Collection Driver jobs near you
Infographic showing various Remote Data Collection Driver job openings in Newark, NJ as of July 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,047 per year, or $26.5 per hour.

Data Scientist

MhyMatch

New York, NY • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Location: New York (USA), Bangalore, Delhi

Mode of Work: Remote

Brief Overview of the Job Description:

We are seeking a highly skilled Data Scientist to join our client, a leading product-based software company. This role leverages large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. It requires a blend of technical data science expertise, analytical problem-solving, and a passion for transforming data into actionable insights.

Key Responsibilities:

  • Design and implement statistical models and machine learning algorithms to drive data-driven decision-making and support financial objectives.
  • Optimize data strategies to reduce costs and improve data processing efficiency.
    • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions that enhance customer satisfaction.
    • Present findings to stakeholders, translating complex data insights into understandable business decisions to meet customer expectations.
      • Lead data mining and collection strategies to improve data reliability, efficiency, and quality across the organization.
      • Develop and maintain robust data pipelines and ETL processes to ensure seamless data flow and integration.
      • Continuously evaluate and identify new technologies, tools, and data sets to enhance the analytics capabilities of the organization.
      • Implement and oversee data validation and cleansing processes to maintain data integrity and accuracy.
      • Collaborate with IT and software development teams to integrate data solutions into existing systems and workflows.
        • Stay updated with the latest industry trends and technologies to continually improve data science practices and methodologies.
        • Participate in training and certification programs to enhance skills and knowledge in data science and analytics tools.
        • Mentor and train junior team members to build a strong data science culture within the organization.
        • Engage in continuous learning opportunities to stay ahead of technological advancements and best practices in data science.

        Technologies to be Used:

        • Python, R
        • SQL and database management systems
        • Data visualization tools such as Tableau or Power BI
        • Machine learning frameworks like TensorFlow or PyTorch

        Qualifications:

        • Masters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field.
        • Certifications in relevant technologies and frameworks are advantageous.

        Knowledge:

        • Expert understanding of data science, machine learning, AI, and advanced analytics techniques.

        Skills:

        • Advanced proficiency in Python and R for statistical programming and model development.
        • Strong experience with SQL and database management systems.
        • Skilled in data visualization tools such as Tableau or Power BI to convey insights visually.
        • In-depth knowledge of machine learning frameworks like TensorFlow or PyTorch.
        • Ability to work with both structured and unstructured data from various sources.

        Attitude:

        • Analytical and critical thinker with meticulous attention to detail.
        • Ability to work in a dynamic environment and adapt to evolving business needs.
        • Strong communication skills with the ability to explain complex solutions to non-technical stakeholders.
        • Team player who is also capable of working independently.

        Work Environment:

        • Dynamic and collaborative environment with a focus on innovation and continuous improvement.
        • Supportive team culture that encourages knowledge sharing and professional growth.
        • Flexible work arrangements to support work-life balance.

        Key Performance Indicators:

        • Accuracy and reliability of statistical models and predictive algorithms.
        • Efficiency and effectiveness of data mining and collection strategies.
        • Quality and clarity of data-driven insights presented to stakeholders.
        • Adoption and impact of data-driven solutions on business processes and customer satisfaction.
        • Continuous improvement in data science practices and methodologies.

        Salary and Benefits:

        • Competitive salary package with performance bonuses.
        • Health insurance, retirement plans, and paid time off.
        • Opportunities for continuous learning and professional development through workshops, courses, and conferences.
        • Flexible working hours and potential for remote work arrangements.

        Company Overview:

        Our client is a leading product-based software company, dedicated to creating innovative and efficient solutions that address complex business challenges. Their suite of products enhances operational efficiencies and drives digital transformation, empowering businesses to achieve sustainable growth and competitive advantage.

        Diversity Policy:

        We are committed to creating a diverse environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

        Career Growth:

        Clear pathways for career advancement in a supportive environment aimed at fostering professional growth and exploration of new technologies in the field of data science.

        Apply