Lead Data Scientist

Humana

1d•Remote

About The Position

Become a part of our caring community and help us put health first Humana is a Fortune 60 market leader in integrated healthcare whose dream is to help people achieve lifelong well-being. As a company focused on the health and well-being of the people we serve, Humana starts from within and is committed to providing progressive benefits that advance the employment experience and vitality of the associate community. Through offerings anchored in a whole-person view of human well-being, Humana embraces a focus on stimulating positive individual and population changes while nurturing a sense of security, enabling people to live life fully and be their most productive. Against that backdrop Humana is building a best-in-class Enterprise Marketing organization to drive profitable membership growth across diverse business lines. Marketing Analytics is a part of Humana's Consumer Data, Insights, and Analytics department within Enterprise Marketing, supporting marketing initiatives with actionable data and insights across the full consumer lifecycle. We champion a holistic marketing measurement strategy to ensure campaign results are measured with a consistent approach throughout all touchpoints of the consumer funnel. We are seeking a talented data professional to join our team as a Lead Data Scientist. As the Lead Data Science, you will be responsible for the strategy, execution, and adoption of data-driven solutions to support and optimize marketing decisions for the Onboarding, Loyalty, or Retention marketing teams. You will be a highly visible and impactful resource and will oversee the analytics team’s efforts to provide data science and analytical solutions with the objective of optimizing performance across digital and non-digital channels. This position requires you to have an in depth understanding of lifecycle customer marketing analytics, including test design, sample sizing, and statistical significance measurement.

Requirements

Bachelor's degree or higher in an analytical discipline such as statistics, mathematics, engineering, or related field
Advanced experience in multiple marketing strategies such as omni-channel marketing measurement, targeting, attribution, forecasting, and experimental test design
Proficiency in statistical analysis tools and programming languages (e.g., Python, R, SQL)
7+ years of analytics in a fast-paced environment
Experience with managing multiple projects and deadlines across teams in a large, highly matrixed company
Experience in managing change by leading and energizing others, modeling adaptability, and inspiring strong organizational performance through periods of transformation, ambiguity, and complexity
Excellent oral and written communications skills, including the polish, poise, and executive presence that will ensure effective interaction with senior and executive level audiences
Highly collaborative mindset and excellent relationship-building skills, including the ability to engage many diverse stakeholders and SMEs and win their co-ownership in the outcome
Experience gathering requirements for BI/reporting automation

Nice To Haves

Master's degree in economics or mathematics

Responsibilities

Strategic Consulting/Partnership: Partner with marketing teams to identify and size marketing opportunities, identify dependencies (i.e., data, timing, regulatory, media, etc.) and make recommendations for marketing approaches to support business goals.
Test Design and Analysis: responsible for valid test design, appropriate sample sizing and setup to ensure results are statistically significant and insights are generated utilizing A/B or multivariate testing methods. Responsible for advocating and building the discipline for continual testing, measurement, and iteration.
Campaign analysis and reporting: Responsible for post-campaign analysis, including media performance (both actuals and to goal), consumer/audience performance and trends, consumer profiles, patient appointment analysis and trends, omni-channel analysis (online to offline, offline to online, optimal pathway, etc.). Responsible for providing requirements to BI team to build reports into production environment. Responsible for providing recommendations for future testing and roll-out opportunities. Will partner with marketing to share insights.
Advanced Analytics: Responsible for defining and executing on the marketing analytics roadmap. Responsible for identifying the opportunity for advanced analytics (i.e., predictive models for targeting, segmentation solutions, cross-sell models, etc.) and working with analytics partners to develop the solution, ensuring models are stable, actionable, valid and risk compliant.