PODS is looking to leverage data science, machine learning, and AI to drive strategic initiatives, grow its customer base, and optimize resource utilization.
Requirements
- Master’s degree in quantitative discipline such as engineering, mathematics, machine learning, statistics, operations research, or computer science; PhD is preferred
- 5+ years of post-academic Data Science experience in for-profit setting using cloud-based technology stack such as Azure ML, Databricks, Google Cloud AI, AWS Sagemaker
- Expert Data acquisition, prototyping, and scripting skills in SQL, R, Python/PySpark
- Experience with conversion of ML models into API endpoints, containers, or other standardized packages for production deployments
- Data visualization experience in Tableau, PowerBI, Looker or similar applications
- Experience working in Agile teams
- Demonstrated experience with Natural Language Processing is highly desirable
Responsibilities
- Lead and mentor a team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
- Oversee the design and execution of data science projects, including predictive modeling, machine learning, generative AI, and statistical analysis
- Develop expert understanding of PODS data and business processes
- Build data models and algorithms in pursuit of strategic objectives to grow customer base and PODS revenue, improve customer satisfaction, and optimize PODS resource utilization
- Collaborate with colleagues and leaders in other departments to identify needs and proactively suggest solutions rooted in application of Machine Learning/AI
- Create and present reports that detail findings, recommendations, and solutions to decision makers within the organization, business partners, and investors
- Identify relevant external data sources and support their vetting and acquisition by demonstrating impact to model accuracy and overall ROI
Other
- Typically reports to Management. Direct supervisor job title(s) typically include: VP- Marketing Analytics
- Job is directly responsible for direct reports (e.g., hiring/termination and/or pay decisions, performance management)
- Master’s degree in quantitative discipline such as engineering, mathematics, machine learning, statistics, operations research, or computer science; PhD is preferred
- At least 2 years of team or complex project leadership experience
- Extensive data and results interpretation experience with the ability to communicate insights and findings to senior management and external partners in a clear, compelling way
