Key Responsibilities include:
- Develop/enhance precursors in AI models partnering with Decision science and collaborate across Marketing, Risk, and Sales to help design customized treatments depending upon the precursors.
- Be a key analytical partner to the Marketing and Measurement teams to report on Digital, Field and Phone Programs that promote growth and retention.
- Support and enable the GCS partners with actionable, insightful analytical solutions (such as triggers, Prioritization Tiers) to help the Field and Phone Sales team prioritize efforts effectively.
- Partner with functional leaders, Strategic Business Partners, and Senior leaders to assess and identify opportunities for better customer engagement and revenue growth.
- Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
- Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.
- Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
- High degree of organization, individual initiative, and personal accountability
Minimum Qualifications:
- Strong programming skills & experience with building models & analytical data products are required. Experience with technologies such as Java, Big Data, PySpark, Hive, Scala, Python
- Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.
- Excellent communication and interpersonal skills, and ability to build and retain strong working relationships.
- Ability to interact effectively and deliver compelling messages to business leaders across various band levels.
Preferred Qualifications:
- Good knowledge of statistical techniques like hypothesis testing, regression, knn, t-test, chi-square test
- Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions at top speed.
- Experience with commercial data and ability to create insights and drive results.