Data Scientist (Geospatial)
Join CMC Global as a Data Scientist (Geospatial) and lead the development of cutting-edge machine learning solutions in a dynamic, data-driven environment. This role is perfect for professionals with 3โ5 years of hands-on experience in delivering production-ready data science projects. Based in Bali, you'll work on innovative projects that leverage geospatial data to solve real-world problems.
At CMC Global, we are a leading global technology consulting firm with a strong presence in Bali. Our team in Bali is at the forefront of technological innovation, working on projects that span various industries. As a Data Scientist (Geospatial), you will be part of a team that develops and implements machine learning models to drive business decisions and enhance operational efficiency.
๐ Tanggung Jawab Pekerjaan
- Develop and deploy machine learning models using Python and R, focusing on geospatial data analysis.
- Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
- Conduct data cleaning, preprocessing, and exploratory data analysis to ensure data quality and relevance.
- Utilize GIS tools such as QGIS and ArcGIS for geospatial data visualization and analysis.
- Implement and optimize machine learning algorithms to improve predictive accuracy and model performance.
- Document and communicate findings and insights to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest trends and advancements in machine learning and geospatial technologies.
- Mentor and guide junior data scientists and other team members in best practices and methodologies.
๐ Kualifikasi & Syarat
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- 3โ5 years of experience in data science, with a focus on machine learning and geospatial data analysis.
- Proficiency in Python and R, with experience in libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.
- Experience with GIS tools such as QGIS and ArcGIS.
- Strong understanding of statistical methods and machine learning algorithms.
- Experience in deploying and maintaining machine learning models in production environments.
- Excellent communication and collaboration skills, with the ability to work effectively in a team.
- Ability to travel to various locations as required by project needs.
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang