Manager - Data Science (Marketing Analytics)

JOB SUMMARY

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 our 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.

This role is required onsite at PODS headquarters in Clearwater, FL. The onsite working schedule is Monday - Thursday onsite with Friday remote.

This is NOT a remote opportunity.

ESSENTIAL DUTIES AND 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 

• 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

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

• 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)

JOB QUALIFICATIONS: Education & Experience 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

• At least 2 years of team or complex project leadership experience 

• Demonstrated experience with Natural Language Processing is highly desirable

• 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

• 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

• Comfort in dealing with ambiguity and demonstrated ability to put structure around vague and unstructured requests/discussions

JOB QUALIFICATIONS: Essential Skills, Abilities and Example Behavior(s)

DELIVER QUALITY RESULTS: Proven track record of delivering value by leveraging AI/ML capabilities to transform business functions in corporate setting; Able to ensure all details are covered and adhere to company policies; Able to strive to do things right the first time; Able to meet agreed-upon commitments or advises customer when deadlines are jeopardized; Able to define high standards for quality and evaluate products, services, and own performance against those standards 

TAKE INITIATIVE: Able to exhibit tendencies to be self-starting and not wait for signals; Able to be proactive and demonstrate readiness and ability to initiate action; Able to take action beyond what is required and volunteers to take on new assignments; Able to complete assignments independently without constant supervision 

BE INNOVATIVE / CREATIVE: Able to examine the status quo and consistently look for better ways of doing things; Able to recommend changes based on analyzed needs; Able to develop proper solutions and identify opportunities 

BE PROFESSIONAL: Able to project a positive, professional image with both internal and external business contacts