Sr Geospatial Data Scientist - National Government
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1 Vacancy
Job Description
Overview
Are you passionate about changing the world through machine learning and location intelligence If yes then its the right time to join our team because we are about to do so! With the IoT revolution the consumerization of mapping and location data growing exponentially day after day location is becoming extremely important to more and more people. We want to enable organizations and businesses to go beyond basic visualization and analytics of such massive data to the realm of being two or three steps ahead of the game by extracting advanced levels of intelligence from it predicting important events and automating significant proportions of their work through AI and machine learning.
We are looking for an entrepreneurial collaborative person with strong handson experience and solid track record with statistical analysis machine learning predictive analytics software engineering and passion for location to help us on our mission to build world class predictive location analytics solutions for our customers in 160 countries.
Responsibilities
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
- Build highquality analytics systems that solve our customers business problems using techniques from data mining statistics and machine learning
- Write clean collaborative and versioncontrolled code to process big data and streaming data from a variety of sources and types
- Perform feature engineering model selection and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud onpremises or hybrid environment
- Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in 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 including deep learning and various other modern data science techniques
- A fundamental understanding of mathematical and machine learning concepts such as calculus back propagation ReLU Bayes theorem Random Forests time series analysis and more
- Experience with applied statistics concepts
- Experience developing software collaboratively in Python using version control
- Ability to perform data extraction transformation loading from multiple sources and sinks
- Ability to produce data visualizations using tools such as matplotlib
- Selfmotivated lifelong learner
- Strong communication skills including to nontechnical audiences
- Bachelors degree in mathematics statistics computer science physics or a similar field
Recommended Qualifications
- Familiarity with one or more of the following: Git Pytorch Tensorflow CUDA/GPU programming
- DevOps/MLOps experience using Docker/Kubernetes
- Experience handling massive batch/streaming data using big data tools such as Apache Spark
- Experience interacting with AWS Azure or other cloud service
- Experience building reinforcement learning models
- Experience with spatial and GIS concepts preferably using Esri software
- Masters degree in mathematics statistics computer science physics or a similar field
#LIDR5
#LIHybrid
Required Experience:
Senior IC
Employment Type
Full Time
