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About the Role

This position will design and implement sophisticated measurement methodologies to quantify the impact of advertising campaigns, and translate insights into clear recommendations for clients and internal stakeholders. The Data Scientist will also build statistical models and use advanced analytics to optimize internal business strategies and forecast trends, enhancing decision-making processes across the organization.

Responsibilities

• Lead the development of new machine learning and advanced analytics to support business growth.
• Design and implement measurement studies using exposed vs control methodologies to evaluate pharmaceutical advertising campaign effectiveness, validating insights through statistical testing.
• Analyze large healthcare, media, and prescription datasets to generate actionable insights for 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, and email performance.
• Collaborate with Business Intelligence and Development teams to deploy solutions, creating data visualizations that improve reporting and understanding.
• Work with cross-functional teams to identify business challenges and gain buy-in for scalable analytics solutions.
• Serve as an internal team leader for data science, acting as a technical resource for the analytics team.

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.
• 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).

Skills

• Machine learning
• Advanced analytics
• Statistical testing
• Data analysis
• Python
• SQL
• Data visualization
• Reporting
• QA
• Google Analytics
• Adobe Analytics
• Excel
• Google Sheets

Location

• New York City

Work Type

• Hybrid

Experience Level

• 4-6 years

Education Level

• BS/MS degree in related field (or equivalent training and experience)

Salary/Compensations

• $120,000 - $130,000

Benefits

• Competitive compensation package
• Paid annual vacation, holiday and sick time off
• Comprehensive health plans including medical, dental and vision
• Competitive 401(k) investment options and generous company matching program
• Life insurance
• Commuter benefits
• Employee referral awards
• Tuition reimbursement
• Training opportunities through industry-recognized programs
• Three Week “Work from Anywhere” benefit

About the Company

• Haymarket Media, Inc. is a highly creative publishing and media business with a focus on quality products and people.
• The company has offices around the world and serves broad business markets including marketing, medicine, and technology, along with exhibitions and live events.
• Haymarket aims to be the perfect company to work with or for, combining quality and consistency with an entrepreneurial spirit.
• As a Certified B Corporation, Haymarket Media is committed to collective action for a global economy that benefits people and the planet.

Equal Opportunity

• An equal opportunity employer, Haymarket Media does not discriminate in hiring or terms and conditions of employment because of an individual's race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status, or any other protected category recognized by state, federal, or local laws.