Job Description

JOB SUMMARY

Data Scientist will be an individual contributor position with the goal to develop Data Science function at PODS. This teammate will bring knowledge and demonstrated experience using Data Science and generative AI techniques. They will build data models and algorithms to grow customer base and PODS revenue, improve customer satisfaction, and optimize PODS resource utilization.

While passionate about developing Data Science function and technology stack at PODS, Data Scientist will retain focus on long-term business value and strategic objectives. To be successful, the individual in this position will work closely with departmental leaders to identify opportunities, prove value, and apply Data Science at PODS.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develop understanding of PODS internal 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 Data Science
• Create and present reports that detail findings, recommendations, and solutions to decision makers within the organization, business partners, and investors
• Work with IT and business partners to package and deploy automated models to support business processes
• Develop data science tool stack, frameworks, and go-to market processes to ensure accurate and sustainable implementation
• Expand PODS knowledge base around market insights and opportunities for growth

JOB QUALIFICATIONS: Education & Experience Requirements

• Bachelor’s degree in quantitative discipline such as data science, mathematics, machine learning, statistics, operations research, or computer science; master’s degree preferred
• 0-2 years of post-academic experience in for-profit setting
• Demonstrated experience using generative AI and LLMs
• Modeling experience using cloud-based technology stack such as Azure ML, Databricks, Google Cloud AI, AWS Sagemaker; automated ML model training, monitoring, and analysis
• Data acquisition, prototyping, and scripting skills in SQL, R, Python/PySpark
• Data visualization experience in Tableau or PowerBI
• Experience working in Agile teams
• Demonstrated data and results interpretation experience with the ability to communicate insights and findings to management and external partners in a clear, compelling way
• Comfort in dealing with ambiguity and demonstrated ability to put structure around vague and unstructured requests/discussions