About the job
Named one of Forbes’ Next Billion-Dollar Startups, FourKites is on a mission to transform the world’s supply chain with the most powerful technology on the planet. With a customer base that includes 18 of the top-20 food and beverage companies and nine of the top-10 CPG companies, the company combines the largest network of real-time logistics data with machine learning to help its customers lower costs, improve on-time performance and strengthen end-customer relationships. Powered by data and innovation, FourKites redefines supply chain management for many global organizations. With the world’s largest network of shippers, carriers, and 3PLs, FourKites delivers unprecedented levels of insight enabling customers to make better, more proactive supply chain decisions. By combining powerful machine learning with real-time data, we help customers lower operating costs and improve on-time performance so that our customers can better serve theirs.
As a Staff Engineer of Data Science at Fourkites, you will work with a team of data scientists and engineers with a very broad range of technical skills. You will explore opportunities for using advanced analytics and machine learning to solve the most challenging problems in supply chain visibility. You will also have the opportunity to build scalable AI driven products which are sometimes first in class and helps solve key customer pain points in their supply chain operations. Using billions of historic data points in the FourKites’ Big data platform from across different geographies and transportation modes you will be responsible for solving some of the most robust and scalable machine learning problems.
Roles & Responsibilities
- Be a technical thought leader in collaboration with engineering and product leadership, helping to set the strategy and standards for developing Machine Learning and analytics-driven products at Fourkites
- Guide junior data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
- Design, develop, test, deploy and maintain machine-learning algorithms on data sets that can range from a few data points to billions
- Design, Build and Deploy Machine Learning services and integrate them with other key microservices within the organization
- Define, Measure and illustrate success metrics of the Machine Learning based products
Must Have:
- Bachelor’s degree or equivalent practical experience
- 9 years of software development experience, or 7 years with an advanced degree
- Experience in applied machine learning or artificial intelligence
- Experience with one or more general purpose programming languages including but not limited to: Python, Java, or C/C++
- Hands on knowledge working with different databases (SQL/NoSQL etc.)
- Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
- Strong problem-solving skills and logical thinking
- Strong communication and data presentation skills
Preferred Qualification
- Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
- Good hands-on experience in Deep Learning frameworks like TensorFlow, PyTorch, etc.
- The ideal candidate must have expertise in developing products based on Artificial Intelligence (including Deep Learning algorithms), Machine Learning and/or NLP
- Experience in building and deploying Machine Learning models in production environments at Scale
- Experience with tools in the distributed computing, GPU, cloud platforms and Big Data domains is a plus (e.g. Hadoop, Spark, AWS, GCP, MS Azure)
- Experience in working with Geospatial data is a plus
