JOB SUMMARY

Senior Data Scientist will be a highly visible individual contributor position with the goal to develop Data Science function at PODS. This teammate will bring extensive knowledge and demonstrated experience using Data Science and generative AI techniques to advance PODS business objectives.

While passionate about developing Data Science function and technology stack at PODS, Senior Data Scientist will retain focus on long-term 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. Additionally, Senior Data Scientist is expected to stay up to date on innovations in the Data Science space and AI and will advise leadership on promising new technologies that could be relevant to PODS.

Finally, this individual will work closely with leadership as well as internal/external stakeholders to facilitate shared learning, coach and develop analytics talent, and ensure business implications of insights are understood and properly actioned.

ESSENTIAL DUTIES AND RESPONSIBILITIES

●       Develop expert 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

●        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 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

●        Train and develop PODS talent on the Data Science methods and techniques

JOB QUALIFICATIONS: Education & Experience Requirements 

•            Master’s degree in a quantitative discipline such as engineering, mathematics, machine learning, statistics, operations research, or computer science; PhD is preferred

•            4 – 7 years of post-academic experience in for-profit setting

•            Modeling experience using cloud-based technology stack such as Azure ML, Databricks, Google Cloud AI, AWS Sagemaker; automated ML model training, monitoring, and analysis

•            Demonstrated experience with Natural Language Processing

•            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 or PowerBI

•            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

•            Skills in mentoring analytics team to help develop their career paths and scale their influence