Data Scientist I

PODS•Clearwater, FL

About The Position

The Data Scientist I is an individual-contributor role focused on developing PODS’ Data Science function. The position applies Data Science and generative AI techniques to build models and algorithms that support business goals, including growing the customer base and revenue, improving customer satisfaction, and optimizing resource utilization. The successful candidate will develop an understanding of PODS’ data and business processes, work with departmental leaders to identify opportunities, demonstrate the value of Data Science, and apply it to business needs. The role also contributes to PODS’ Data Science technology stack, frameworks, and go-to-market processes, with an emphasis on sustainable implementation and long-term business value.

Requirements

  • Bachelor’s degree in a quantitative discipline such as Data Science, Mathematics, Machine Learning, Statistics, Operations Research, or Computer Science.
  • 0–2 years of post-academic experience in a for-profit setting.
  • Demonstrated experience using generative AI and large language models (LLMs).
  • Modeling experience with cloud-based technology such as Azure ML, Databricks, Google Cloud AI, or AWS SageMaker, including automated model training, monitoring, and analysis.
  • Data acquisition, prototyping, and scripting skills in SQL, R, and Python/PySpark.
  • Data visualization experience with Tableau or Power BI.
  • Experience working in Agile teams.
  • Demonstrated ability to interpret data and results and clearly and compellingly communicate insights and findings to management and external partners.
  • Comfort working with ambiguity and ability to add structure to vague or unstructured requests and discussions.

Nice To Haves

  • Master’s degree preferred.

Responsibilities

  • Develop an understanding of PODS’ internal data and business processes.
  • Build data models and algorithms to grow the customer base and revenue, improve customer satisfaction, and optimize resource utilization.
  • Collaborate with colleagues and leaders in other departments to identify needs and proactively suggest solutions using Data Science.
  • Create and present reports detailing findings, recommendations, and solutions to organizational decision makers, business partners, and investors.
  • Work with IT and business partners to package and deploy automated models supporting business processes.
  • Develop the Data Science tool stack, frameworks, and go-to-market processes to support accurate and sustainable implementation.
  • Expand PODS’ knowledge base around market insights and growth opportunities.
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