Data Scientist

Haymarket Media, Inc•New York, NY

9d•$120,000 - $130,000•Hybrid

About The Position

Reporting to the Senior Director, Analytics, this position will design and implement sophisticated measurement methodologies to quantify the impact of our advertising campaigns, and translate insights into clear recommendations for clients and internal stakeholders. Additionally, the Data Scientist will be responsible for building statistical models and using advanced analytics to optimize internal business strategies and forecast trends. They will be instrumental in enhancing decision-making processes across the organization through their ability to package complex insights into a clear and actionable story.

Requirements

Minimum of 4-6 years of related experience
Past experience designing and building measurement frameworks using test and control methodologies to quantify campaign performance
Experience querying and uncovering insights from healthcare claims data
Demonstrated ability in applying data science and clustering techniques to segment audiences and predict user behavior
Hands-on experience leveraging Python to clean and analyze large datasets, perform statistical analysis, and build predictive models
Advanced SQL knowledge with ability to write own queries across large, complex datasets with high dimensionality
Proficiency in using data visualization tools (Looker, PowerBI, etc) to translate data into compelling, narrative-driven dashboards for stakeholders
Strong reporting and QA skills with attention to detail and accuracy, including the ability to identify anomalies and extreme outliers in large datasets
Familiarity with web analytics platforms, including Google Analytics and/or Adobe Analytics
Advanced Excel/Google Sheets capabilities
Ability to think creatively about solutions to complex, ambiguous, data problems
BS/MS degree in related field (or equivalent training and experience)

Responsibilities

Lead the development of new machine learning and advanced analytics to be deployed across Haymarket to support the growth of the business
Design and implement measurement studies using exposed vs control methodologies to evaluate the effectiveness of pharmaceutical advertising campaigns, validating insights through statistical testing
Analyze large healthcare, media, and prescription datasets to generate actionable insights for pharmaceutical clients and internal stakeholders
Translate insights into clear stories tailored to both technical and non-technical audiences
Build machine learning models to improve audience segmentation, content optimization, email performance
Collaborate with Business Intelligence and Development teams to deploy those solutions, creating data visualizations that improve reporting and understanding of the data
Work with cross functional teams to identify business challenges and get business buy-in on development of scalable analytics solutions for those challenges.
Serve as an internal team leader for data science, being a technical resource for the larger analytics team