Junior Data Scientist

Job Description

This is a remote position.

• Data Extraction & Crawling : Assist in the automation of collecting geospatial data from APIs, databases, and web sources using tools like Selenium, Scrapy, or custom scripts.
• Data Cleaning : Learn how to ensure the quality and consistency of geographic datasets by addressing missing or inconsistent data with guidance from senior engineers.
• Data Preparation & Aggregation : Support in organizing and structuring geospatial data for use in xMap’s mapping and AI-driven analysis tools.
• Data Manipulation : Work with geographic datasets to sort, filter, and transform them under the guidance of experienced team members.
• Data Quality Assurance : Participate in implementing checks to maintain data integrity and geospatial accuracy.
• Data Pipeline Development : Assist in building and maintaining automated data pipelines to support xMap’s platform.
• Performance Optimization : Learn how to optimize data structures and queries for speed and efficiency in geospatial applications.
• Automation & Process Improvement : Collaborate on automating repetitive tasks to streamline processes.
• Collaboration & Communication : Work closely with xMap’s engineering team, GIS experts, and project managers, gaining experience in delivering high-quality data solutions.
• Troubleshooting & Support : Assist in diagnosing and resolving issues in data pipelines, ensuring smooth operation of geospatial applications.

Requirements

Requirements

Job Title : Junior Data Pipeline Engineer About xMap : xMap is a cutting-edge geospatial technology startup that is transforming the world of mapping and location-based intelligence. Our flagship product, Polygon AI, brings the power of generative AI to Geographic Information Systems (GIS), enabling businesses and governments to interact with spatial data in innovative ways. With Polygon AI, users can automate geospatial analysis, enhance precision, and unlock new insights, making it a game-changer for industries that rely on advanced mapping and geospatial data. As part of several prestigious startup programs - including Google AI Startup Academy, Global 500, Stanford StartX, Alchemist, and OnLab. Our clients range from government agencies to Fortune 500 enterprises. We are a fast-growing, fully remote company looking for talented individuals who are passionate about AI and geospatial technology to join our dynamic team. If you’re eager to work on groundbreaking projects that shape the future of mapping, xMap is the place for you. Job Description : Data Extraction & Crawling : Assist in the automation of collecting geospatial data from APIs, databases, and web sources using tools like Selenium, Scrapy, or custom scripts. Data Cleaning : Learn how to ensure the quality and consistency of geographic datasets by addressing missing or inconsistent data with guidance from senior engineers. Data Preparation & Aggregation : Support in organizing and structuring geospatial data for use in xMap’s mapping and AI-driven analysis tools. Data Manipulation : Work with geographic datasets to sort, filter, and transform them under the guidance of experienced team members. Data Quality Assurance : Participate in implementing checks to maintain data integrity and geospatial accuracy. Data Pipeline Development : Assist in building and maintaining automated data pipelines to support xMap’s platform. Performance Optimization : Learn how to optimize data structures and queries for speed and efficiency in geospatial applications. Automation & Process Improvement : Collaborate on automating repetitive tasks to streamline processes. Collaboration & Communication : Work closely with xMap’s engineering team, GIS experts, and project managers, gaining experience in delivering high-quality data solutions. Troubleshooting & Support : Assist in diagnosing and resolving issues in data pipelines, ensuring smooth operation of geospatial applications. Qualifications : Knowledge of Data Manipulation Languages : Strong skills in Python and SQL, with a willingness to learn more about handling geospatial data. Knowledge in Web Scraping : Exposure to tools like Selenium, BeautifulSoup, or Scrapy is a plus, but not required. Geospatial Data Awareness : Eagerness to learn about geographic data formats such as GeoJSON and shapefiles. Data Preparation Tools : Basic experience with pandas, NumPy, or other data manipulation libraries is helpful but can be developed on the job. Data Quality Management : An interest in learning about data validation and ensuring accuracy in mapping datasets. Pipeline Design : Willingness to develop skills in tools like Apache Airflow, Luigi, or similar, with a focus on data pipelines. Problem-Solving Mindset : Eagerness to grow in troubleshooting skills for resolving issues in data pipelines. Collaboration Skills : Ability to communicate effectively and work well with cross-functional teams. Why Join xMap? Be part of a fully remote team working on cutting-edge geospatial AI technology. Join a fast-growing startup recognized by leading programs like Google AI Startup Academy, Global 500, Stanford StartX, Alchemist, and OnLab. Work with high-profile clients, including governments and Fortune 500 enterprises.