Location Data Specialist

Join Our Team as a Mapping Data Collection DriverAt Terry Soot Management Group (TSMG), we specialize in gathering essential data in environments where automation is impractical. Our mission is to provide our clients with accurate and detailed information through various methods including counting features, capturing images, recording videos, and conducting …

Company OverviewTerry Soot Management Group (TSMG) is a pioneering field data collection company established in 2017 in Europe.We specialize in gathering data in locations where automation is not viable. Our team captures features, creates images and videos, records audio, and scans areas for every detail you need to make informed decisions. Our field data collection teams are strategically located across Europe and North America, ready to tackle new challenges.Project ObjectiveThe project aims to collect images of roads, significant landmarks, and public spaces. This initiative will utilize vehicles equipped with 360-degree cameras mounted on the roof to capture the surroundings and store these images on computers inside the vehicle. The collected data will later be utilized to enhance one of the world's most popular online mapping services.The data collectors will be assigned specific routes along public roads and areas, focusing on business districts and historical sites. Due to adverse weather conditions, some areas will be revisited to ensure optimal image quality. The project is expected to last at least 8 months and will cover various urban and federal zones.The ideal candidate enjoys driving, possesses a strong knowledge of the local area and traffic trends, and demonstrates high levels of responsibility and reliability.The anticipated schedule for this project is Monday through Friday, 8 hours per day, totaling 40 hours per week. Candidates may choose to work more than 8 hours per day if desired.

About UsThe Terry Soot Management Group (TSMG) is a pioneering field data collection firm established in 2017, dedicated to gathering critical data in regions where automation proves challenging. Our expert teams traverse Europe and North America, capturing essential details through counting features, photographing landscapes, recording videos, and scanning areas meticulously. Join us as we take on exciting new challenges!Project OverviewWe are on a mission to enhance one of the world’s leading online maps by collecting high-quality images of streets, key points of interest, and public spaces. This project involves driving vehicles equipped with advanced 360-degree cameras that document the surroundings, storing valuable data for future mapping enhancements. Our data collectors will navigate specific routes, focusing on commercial districts and historical landmarks. Due to varying weather conditions, some locations will be revisited to ensure optimal image quality. The project duration is anticipated to last at least 8 months, covering various city and state zones.The ideal candidate is passionate about driving, possesses a strong familiarity with the local area and traffic patterns, and exhibits a high degree of responsibility and reliability.Work ScheduleWorking hours are Monday to Friday, 8 hours per day, totaling 40 hours per week. Candidates may opt to work additional hours.

Company OverviewThe Terry Soot Management Group (TSMG), established in 2017, is a leading firm specializing in field data collection across Europe. Our mission is to gather essential data in environments where automation is not feasible. Our dedicated teams meticulously count features, capture images, create videos, record audio, and scan locations to provide detailed insights that empower informed decision-making.Project GoalThis project aims to systematically collect high-quality images of streets, significant points of interest, and public areas. Utilizing vehicles equipped with cutting-edge 360-degree cameras, we capture a comprehensive view of the surroundings, storing this data for future enhancements to one of the world’s most utilized online mapping platforms.Field data collectors will follow designated routes through public streets and areas, focusing particularly on commercial districts and historical landmarks. Due to varying weather conditions, some locations may require multiple visits to ensure optimal image quality. This project is anticipated to span at least 8 months, covering diverse city and state zones.The ideal candidate possesses a passion for driving, has an in-depth knowledge of the area, understands traffic trends, and demonstrates high levels of responsibility and reliability.The project schedule is set for Monday through Friday, providing a standard of 8 hours per day, totaling 40 hours per week. Additional hours may be available based on demand.

Company OverviewThe Terry Soot Management Group (TSMG) is a field data collection company established in Europe in 2017. Our mission is to capture data in areas where automation is not feasible. We meticulously gather features, create images, record videos, capture audio, and scan locations for every detail necessary to empower informed decision-making. Our dedicated field data collection teams are strategically located across Europe and North America, ready to take on new challenges.Project ObjectiveThe objective of this project is to collect images of roads, significant landmarks, and public areas. The data collection will be conducted using vehicles equipped with 360-degree cameras mounted on the roof, capturing the surroundings and storing these images on onboard computers. This data will subsequently be utilized to enhance one of the world’s most popular online mapping services.Data collectors will be assigned specific routes along public streets and areas, focusing primarily on business districts and historical sites. To ensure optimal image quality, certain areas may need to be revisited due to inclement weather conditions. The project is expected to last a minimum of 8 months and will encompass various city and state regions.The ideal candidate enjoys driving, possesses a strong understanding of the local area and traffic patterns, and demonstrates a high level of responsibility and reliability.The anticipated schedule for this project is Monday to Friday, 8 hours per day, 40 hours per week, with the potential for additional hours if desired.

Company OverviewTerry Soot Management Group (TSMG) is an innovative field data collection firm established in 2017 in Europe. Our mission is to gather essential data in environments where automation falls short. We meticulously document features, capture images and videos, record audio, and scan areas for every detail that empowers informed decision-making. Our dedicated field data collection teams are strategically positioned across Europe and North America, always ready to tackle new challenges.Project GoalsThis project aims to collect comprehensive imagery of streets, key points of interest, and public spaces. Utilizing vehicles equipped with 360-degree cameras, we will document the environment surrounding these vehicles, storing the data for future enhancement of one of the world’s leading online mapping services. Data collectors will follow designated routes, focusing on commercial zones and historical landmarks, with plans for revisits during adverse weather to ensure optimal image quality. The project is projected to extend for at least 8 months, covering various urban and regional areas.The perfect candidate will be an enthusiastic driver with an in-depth knowledge of the local area and traffic patterns, demonstrating a high level of responsibility and reliability.The project operates Monday to Friday, 8 hours per day, totaling 40 hours per week, with the possibility of additional hours as needed.

During your internship, you will collaborate closely with the eBike NVH team to enhance processes and implement data-driven solutions that contribute directly to product improvement.You will optimize and maintain robust real-time data pipelines for processing sensor data from various sources, establishing a solid foundation for informed decision-making.Ensuring the integrity and performance of the data pipeline will be your responsibility, as you efficiently manage data ingestion, validation, transformation, and storage.You will monitor pipeline performance, proactively troubleshoot issues, and implement fault tolerance and automation to guarantee high availability.Finally, you will create comprehensive documentation and establish best practices for scaling and improving the pipeline under production loads.

Join Bosch eBike Systems as a PreMaster in Data Analytics, where you will engage in innovative projects that shape the future of biking technology. This exciting opportunity allows you to dive into data-driven insights, enhancing our eBike solutions for customers worldwide.

Join us in exploring the fascinating world of Micro-Electro-Mechanical Systems (MEMS). These intricate devices, featuring mechanical structures at the micrometer scale, are essential in our daily lives, powering everything from smartphones to automobiles and smart devices. The creation of these delicate structures is a multi-stage, complex process. While causal relationships within certain production subsystems might be implicitly understood, a clear and systematic representation of these relationships is often lacking. Our project aims to model the fundamental causal truths for known subsystems and propose and validate hypotheses for the causal truths of lesser-understood subsystems.During your master's thesis, you will acquire in-depth knowledge about causality and its distinction from correlation, establishing a strong theoretical foundation for your work.You will deeply engage with MEMS technology, specific production processes, and the complexities of MEMS manufacturing.You will identify and analyze causal relationships within known subsystems, interpreting relevant variables through literature and textbooks.Subsequently, you will develop hypotheses and models for the causal truths of these systems, presenting them explicitly, analytically, and graphically.Your hypotheses will be validated through close collaboration with Bosch's expert team as you apply your developed methodologies to unknown subsystems with more complex interrelationships.You will evaluate existing algorithms for data-driven inference of causal relationships using your self-developed models.You will meticulously prepare your findings, analyze data, and regularly present results within your workgroup.