Manager - Data Science (Marketing Analytics)

PODS

Clearwater, FL

Full Time

Senior

127k-146k

8 days ago

Job Description

About the Role

The Manager - Data Science will lead the development and adoption of data science, machine learning, and AI at PODS. This role will be instrumental in building a high-performing team of data scientists and engineers. The ideal candidate will leverage their expertise in advanced modeling and generative AI to drive strategic initiatives, grow the customer base, and optimize resource utilization. This position requires strong leadership, a passion for innovation, and the ability to partner with business leaders to identify and deliver long-term value. The role is onsite at PODS headquarters in Clearwater, FL, with a Monday-Thursday onsite schedule and Friday remote. This is NOT a remote opportunity.

Key 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 to grow customer base, improve customer satisfaction, and optimize resource utilization
Collaborate with colleagues and leaders in other departments to identify needs and suggest solutions rooted in Machine Learning/AI
Create and present reports detailing findings, recommendations, and solutions to decision makers, business partners, and investors
Identify relevant external data sources and support their vetting and acquisition by demonstrating impact on model accuracy and ROI
Work with IT and business partners to package and deploy automated models to support business processes
Develop tool stack, frameworks, and go-to-market processes to ensure accurate and sustainable implementation

Requirements

Master's degree in a quantitative discipline such as engineering, mathematics, machine learning, statistics, operations research, or computer science; PhD preferred
5+ years of post-academic Data Science experience in a for-profit setting using cloud-based technology stacks such as Azure ML, Databricks, Google Cloud AI, AWS Sagemaker
At least 2 years of team or complex project leadership experience
Demonstrated experience with Natural Language Processing
Expertise in 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 deployment
Data visualization experience in Tableau, PowerBI, Looker or similar applications
Experience working in Agile teams
Extensive data and results interpretation experience with the ability to communicate insights to senior management and external partners
Comfort in dealing with ambiguity and ability to put structure around vague requests

Nice to Have

Experience with cloud platforms such as Azure ML, Google Cloud AI, AWS Sagemaker
Experience with Generative AI
Experience with API development and deployment
Experience with data visualization tools like Tableau, PowerBI, Looker