Hybrid Data Scientist — Healthcare Analytics & ML

Haymarket Media US; New York (NY); Hybrid; USD 120,000 - 130,000; Full time

Benefits offered by this job

Vacation and sick time

Health plans

401(k) matching

Life insurance

Work from Anywhere (3 weeks)

Employee referral awards

Training opportunities

Job summary

Haymarket Media, Inc. is seeking a Data Scientist to join the Analytics team in New York City on a hybrid schedule, with three days in the office as needed.

The role focuses on designing measurement methodologies to quantify the impact of advertising campaigns, building statistical models, and translating insights into clear recommendations for clients and internal stakeholders. You will develop ML models for audience segmentation and collaborate with BI and Dev teams.

Qualifications

• Design and implement measurement methodologies to quantify ad campaign impact.
• Build statistical models and use analytics to forecast trends.
• Translate insights into actionable stories for clients and stakeholders.

Responsibilities

• Lead ML and analytics across Haymarket to support business growth.
• Design measurement studies using exposure vs control methodologies.
• Analyze healthcare, media, and prescription datasets for actionable insights.
• Translate insights into stories for technical and non-technical audiences.
• Build models to improve audience segmentation and content optimization.
• Collaborate with BI and Development teams to deploy solutions and create dashboards.
• Work with cross-functional teams to justify analytics solutions.

Skills

Python

SQL

Data science

Machine learning

Experiment design

Healthcare data

Analytics storytelling

Education

BS/MS degree in related field

Tools

Looker

PowerBI

Google Analytics

Adobe Analytics

Excel/Google Sheets

Job description

Haymarket Media, Inc. is seeking a Data Scientist to join the Analytics team in New York City on a hybrid schedule, with three days in the office as needed.

The role focuses on designing measurement methodologies to quantify the impact of advertising campaigns, building statistical models, and translating insights into clear recommendations for clients and internal stakeholders. You will develop ML models for audience segmentation and collaborate with BI and Dev teams.