Are you passionate about changing the world through machine learning and location intelligence? If yes, then it’s the right time to join our team at Esri because we are about to innovate in this space! With the IoT revolution and the consumerization of mapping and location data growing exponentially, we aim to empower organizations and businesses to advance beyond basic visualization and analytics. Our goal is to enable extraction of advanced intelligence from massive datasets, predict crucial events, and automate significant processes using AI and machine learning.
We are seeking an entrepreneurial, collaborative individual with strong hands-on experience in statistical analysis, machine learning, predictive analytics, and software engineering, as well as a passion for location. You will be instrumental in building world-class predictive location analytics solutions for our clients across 160+ countries.
Responsibilities:
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by aligning business challenges with machine learning or advanced analytics approaches
- Build high-quality analytics systems to solve business problems using data mining, statistics, and machine learning techniques
- Write clean, collaborative, and version-controlled code to process big data and streaming data from various sources
- Perform feature engineering, model selection, and hyperparameter optimization to ensure high predictive accuracy, deploying models in cloud, on-premises, or hybrid environments
- Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Stay updated with the latest trends in machine and deep learning and integrate them into project delivery
Requirements:
- 5+ years of experience with Python in data science and deep learning
- Experience in building and optimizing supervised and unsupervised machine learning models
- A solid understanding of mathematical and machine learning concepts (calculus, back propagation, ReLU, Bayes’ theorem, Random Forests, time series analysis, etc.)
- Proficiency in applied statistics concepts
- Experience developing software collaboratively in Python using version control
- Ability to perform data extraction, transformation, loading from multiple sources
- Competence in producing data visualizations using tools such as matplotlib
- Self-motivated, eager to learn continuously
- Strong communication skills, including to non-technical audiences
- Bachelor’s degree in mathematics, statistics, computer science, physics, or a related field
Recommended Qualifications:
- Familiarity with Git, Pytorch, Tensorflow, CUDA/GPU programming
- DevOps/MLOps experience using Docker/Kubernetes
- Experience handling large batch/streaming data using big data tools (e.g., Apache Spark)
- Experience interacting with AWS, Azure, or similar cloud services
- Experience building reinforcement learning models
- Knowledge of spatial and GIS concepts, preferably with Esri software
- Master’s degree in mathematics, statistics, computer science, physics, or a similar field
Language Requirements:
[No specific language requirements cited.]
Join us at Esri, where diversity drives innovation and we are committed to creating positive global change through technology.
