Junior Data Scientist

Category: Telecommunications Location: - 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 - 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. Details Originally posted on Himalayas