FourKites, Inc. is hiring a
Senior Data Scientist

Summary

As a Senior Data Scientist at Fourkites, you will work with a team to explore opportunities for using advanced analytics and machine learning to solve complex supply chain visibility problems. You will design, develop, test, deploy, and maintain machine-learning algorithms on large data sets and have the opportunity to build scalable AI-driven products.

Requirements

• Bachelor’s degree or equivalent practical experience
• 5 years of software development experience, or 3 years with an advanced degree
• Experience in applied Machine Learning / Artificial Intelligence
• Experience with one or more general purpose programming languages including but not limited to: Python, Java, or C/C++
• Good in Algorithms and Data Structures
• Hands on knowledge working with different databases (SQL/NoSQL etc.)
• Hands on experience on Machine Learning and Data Modelling applications
• Strong problem-solving skills and logical thinking
• Strong communication and data presentation skills

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
• 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

Preferred Qualifications

• 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 in NLP/Computer Vision
• Experience in building and deploying Machine Learning models in production environments
• 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

Benefits

• Medical benefits start on first day of employment
• 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days
• Home Office setups and Technology reimbursement
• Lifestyle & Family benefits
• Annual Swags/ Festive Swags
• Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)