
Chief Analytics Officer
9 hours ago
We are seeking a Data Scientist to join our team. As a Data Scientist, you will play a key role in developing machine learning and data analytics solutions to build our industry-leading map.
The successful candidate will be passionate about innovating and developing predictive models to drive business outcomes. You will have the opportunity to collaborate with a dedicated team that works on cutting-edge technology to create tools and services.
Responsibilities:
- Design and develop scalable Big Data infrastructure and machine learning solutions for global-scale digital map-making.
- BUILD analytic and statistical models to improve internal data-driven processes and system control needs.
- Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
- Lead predictive modeling or application teams on Core Map projects.
Requirements:
- Masters or PhD in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/engineering, data mining, machine learning, and optimization.
- 7+ years related professional experience.
- Expert-level knowledge in one or more of regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.
- Knowledge of Computer Vision, Deep Learning, Point Cloud Processing algorithms.
- Proficiency with Python, R, Matlab, SAS, SQL, shell script, etc.
- Experience with Pig, Hive, Hadoop, Spark for big data extraction and data prep.
- Capability to interact with customer executives, technical and non-technical to explain uses and value of predictive systems.
- Demonstrated proficiency in understanding, specifying and explaining predictive modeling solutions.
Preferred Qualifications:
- Development experience with Scala
- Development experience with Docker
- Development experience with GIS data
- Development experience with NoSQL (i.e. DynamoDB)
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