Utilization of SQL for Data Querying and Manipulation
Proficiency with Data Visualization Tools like Tableau or Power BI
Strong Experience with Predictive Analytics
Statistic and Mathematical Modeling
Deep Understanding of Principal Component Analysis (PCA)
Ability to Execute A/B Testing for Campaign Efficiency
Knowledge of Advanced Optimization Techniques (Stochastic, Monte Carlo, etc.)
Understanding of Uplift Modeling Techniques
Ability to Apply Data-Driven Strategies to Drive User Acquisition and Retention
Ability to Collaborate and Communicate Effectively with Cross-Functional Teams.
Customer service & leadership
In the role of a Data Scientist, the idealcandidate will be primarily responsible for leveraging their expertise in Corporate Linkages, Healthcare, and Optimization strategies to support our Direct to Consumer (D2C) Marketing endeavors. Integral to the strategic development of MDLive's customer acquisition process, the candidate will adeptly utilize our available assets: First-party Data, Purchased B2B, and B2C Data, with the primary aim of deriving actionable insights. Our expectation is to maximize these insights to reduce advertising expenditure, while simultaneously optimizing for receptivity to ensure a steady flow of new MDLive members.
To achieve these tasks, profound understanding of methodologies such as natural language processing, response modelling, tokenization and lemmatization is essential. Beyond theoretical understanding, the ideal candidate must possess the practical ability to traverse the nuanced pathways between linguistic framing and triggering a call to action. The end goal is to extract pivotal insights from our data assets and convert them into influential marketing strategies, thereby propelling the MDLive brand to the forefront in an Employer-centric US Healthcare market.
Technical Skills (Secondary - Nice To Have, NOT MANDATORY)