• Act as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with novel data science methods in the live event space • Define and execute on roadmaps for measuring the impact of content merchandising and improving member experience with Causal Inference and Machine Learning • Partner closely with other business leaders, product managers, and other data scientists to refine and scale Causal Inference model based systems • Present your research and insights to all levels of the company • Become a regional expert on Merchandising and Content Understanding Data Science and Engineering, helping educate and connect with regional offices

• Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems • Be a strategic thought partner with commerce, product, engineering, analysts, data engineering etc • Influence decision-making through data-driven insights and recommendations • Proactively identify and perform data exploration to inform future product directions • Prioritize competing demands toward the most impactful items • Develop and validate the appropriate metrics to measure success in a given product area • Contribute to the excellence of experimentation methodology within the Netflix data science community • Live Netflix values while bringing a new perspective to continue improving our culture

• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. • Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. • Build scalable data pipelines and analytical models using PySpark for large-scale datasets. • Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. • Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. • Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. • Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. • Collaborate, coach, and learn with a growing team of experienced Data Scientists. • Stay connected with external sources of ideas through conferences and community engagements

• Oversee and manage an ever-changing portfolio of claim-centric algorithms that identify claims pre and post-pay • Responsible for providing depositions and testifying in court to support legal actions initiated by CareSource and the Attorney General • Collaborate with cross-functional teams to solve Program Integrity problems, develop new algorithms and models, and identify trends and opportunities • Lead a team of data scientists and statisticians to develop and drive innovative approaches to increase PI effectiveness and efficiency • Monitor and provide explanation of anomalies related to trends associated with the potential for Fraud Waste and Abuse across the corporate enterprise