Staff Data Scientist
Mission Lane$147,000 - $179,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Logistics & Supply Chain, Artificial Intelligence, Data ScienceIndustries
Requirements
Candidates should possess 8+ years of experience in data science, machine learning, or applied analytics, preferably in logistics, supply chain, or related industries. Strong expertise in machine learning, deep learning, statistical modeling, artificial intelligence, and optimization techniques is required, along with proficiency in Python, Java, and SQL. Hands-on knowledge of distributed computing frameworks (Spark) and experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn are also necessary. Solid understanding of operations research and optimization algorithms, combined with experience working with large-scale data pipelines (KStreams, Delta Lake, Redshift, Athena) and cloud platforms (AWS, Azure), is expected. A Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred.
Responsibilities
As a Staff Data Scientist, you will collaborate with a team to develop cutting-edge AI-driven solutions, focusing on leveraging advanced analytics and machine learning to tackle complex supply chain challenges. You will design, implement, and deploy scalable AI-powered products, building robust machine learning models that impact the global logistics ecosystem. Responsibilities include developing predictive models to optimize supply chain operations and route planning, designing and implementing machine learning solutions for real-time logistics decision-making, analyzing large datasets to identify patterns and inefficiencies, collaborating with cross-functional teams to integrate data-driven solutions, leading technical strategy and mentoring junior data scientists, building and optimizing algorithms for ETAs and shipment tracking, and developing data pipelines and feature engineering strategies. Furthermore, you will communicate insights to senior leadership and stay updated on the latest trends in AI/ML and data science applications in logistics.
Skills
Machine Learning
Predictive Modeling
Data Pipelines
Feature Engineering
Big Data
Optimization
Real-time Decision Making
Data Analysis
Supply Chain Analytics
Scalable AI Solutions
Model Deployment
Collaboration
Leadership
FourKites
Real-time supply chain visibility platform
About FourKites
FourKites provides a platform for supply chain management that focuses on real-time visibility and predictive analytics. The platform collects data from millions of shipments worldwide and uses AI technology to analyze this data, offering businesses insights to improve their supply chain operations. This helps companies manage risks, enhance responsiveness, and optimize their processes. FourKites connects all parts of a supply chain through its applications, ensuring that teams have access to the same information. A unique feature of their platform is Fin AI, which uses natural language processing to help businesses find optimization opportunities and automate tasks. Unlike its competitors, FourKites stands out by combining a vast real-time supply chain network with specialized applications and patented AI technology. The goal of FourKites is to help large brands manage their supply chains more effectively and efficiently.
Chicago, IllinoisHeadquarters
2014Year Founded
$205.8MTotal Funding
LATE_VCCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees