Senior Data Scientist collaborating with teams to analyze logistics datasets for predictive insights. Performing analyses and deploying models to improve global supply chain operations.
Responsibilities
Perform analyses to make internal recommendations as to whether data science methods can be used to solve a given problem
Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
Research and evaluate new analytical methodologies, approaches, and solutions
Build, test, and deploy supervised or unsupervised learning models
Collaborate with teams to analyze the behavior of global transportation networks & supply chains
Write queries to grab the right set of data to solve problems
Build tools to enable other data scientists to scale their knowledge and increase impact
Participate in code reviews and model reviews
Collaborate with ML Ops Engineers to deploy new models to production
Mentor junior scientists on the team
Requirements
7+ years professional experience working in an analytics or DS-focused role
Ability to write sophisticated data analysis & machine learning code in python
Thought leadership to take a real-world problem without a clean, pre-existing dataset and solve it
Experience developing software projects with large teams using technologies like; git, github, jira etc.
Ability to take a project from ideation to implementation with a high degree of autonomy and out-of-the box thinking
Benefits
In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. The expectation is to be on-site, in office four days a week as this offers the chance to immerse yourself in the energy of the office and collaborate with your co-workers. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.
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