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About This Role
Haymarket Media, Inc. is seeking a Data Scientist to join the Analytics team. This position is located in our New York City office on a hybrid work schedule; three (3\) days in office depending on business needs. Job Overview:
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. 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
Skills and 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)
What We Offer:* A competitive compensation package
- The salary range for this position is $120,000 \- $130,000\. Compensation will be commensurate with experience, skill level, functional and/or industry knowledge, education level, certifications, as well as other qualifications.
- 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
- A creative and passionate workplace and a fun, collaborative team environment
- Three Week “Work from Anywhere” benefit, to ensure work life balance
About Haymarket:
Haymarket has its heart and soul in publishing and media. Since the company was founded half a century ago, Haymarket has always prided itself on being a highly creative business, with an unrelenting focus on the quality of the products and the people. The philosophy has always been quite simple: only by having the highest quality individuals can you produce the highest quality products, combining the best in content, design, production and customer services. Globalization is opening up the world further and provides many opportunities for growth. Haymarket has offices around the world and many of the titles are now truly global brands. Haymarket serves a broad spread of business markets, from marketing to medicine to technology along with exhibitions and live events. Predicting the shape of the business in 3, 5, or 10 years is almost impossible; and the unpredictability is part of the appeal. Haymarket aims to be the perfect company to work with or for – we have the processes and attitude that ensure quality and consistency, and an entrepreneurial spirit that makes every day rewarding. As a Certified B Corporation, we’re proud to be part of a community of companies working together for change, and taking part in collective action to advocate for a shared goal of a global economy that benefits people and the planet.
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.
Beware of fraudulent activity where individuals are contacting job seekers claiming to represent Haymarket Media. Please note that only emails from @haymarketmedia.com are legitimate.
When applying for roles with Haymarket Media, you will receive an email directly from a member of the Talent Acquisition team or communication through LinkedIn.
You can view our open positions on our website US careers section: www.Haymarket.com
California Applicants may view Haymarket Media, Inc.'s Privacy Statement for California Residents here.
Salary Context
This $120K-$130K range is in the lower quartile for Data Scientist roles in our dataset (median: $155K across 226 roles with salary data).
View full Data Scientist salary data →Role Details
About This Role
Data Scientists extract insights and build predictive models from data. In the AI era, many roles now include LLM-powered analytics, automated reporting, and integration with generative AI tools. The role has evolved from 'the person who runs SQL queries' to 'the person who builds AI-powered data products.'
Modern data science roles fall into two camps: analytics-focused (insights, dashboards, experimentation) and ML-focused (building predictive models, recommendation systems, NLP features). The best data scientists can operate in both modes. The AI shift means that even analytics-focused roles now involve building automated insight pipelines using LLMs, going well beyond one-off reports.
Across the 3,708 AI roles we're tracking, Data Scientist positions make up 8% of the market. At Haymarket Media, this role fits into their broader AI and engineering organization.
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
What the Work Looks Like
A typical week includes: analyzing experiment results for a product feature launch, building a predictive model for customer churn, creating an automated reporting pipeline using LLM-powered summarization, presenting insights to stakeholders, and cleaning data (always cleaning data). The ratio of analysis to engineering varies by company, but expect both.
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
Skills Required
Python, SQL, and statistical modeling are the foundation. Increasingly, roles want experience with LLMs for data analysis, automated insight generation, and building AI-powered data products. Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and ML frameworks (scikit-learn, PyTorch) covers most job requirements.
Experimentation design and causal inference are underrated skills that separate strong candidates. Companies care about whether their product changes cause improvements, and can distinguish causation from correlation. A/B testing methodology, Bayesian statistics, and the ability to communicate uncertainty to non-technical stakeholders are high-value skills.
Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.
Compensation Benchmarks
Data Scientist roles pay a median of $192,890 based on 463 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($125K) sits 35% below the category median. Disclosed range: $120K to $130K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Haymarket Media AI Hiring
Haymarket Media has 1 open AI role right now. They're hiring across Data Scientist. Based in New York, NY, US. Compensation range: $130K - $130K.
Location Context
AI roles in New York pay a median of $220,000 across 1,045 tracked positions.
Career Path
Common paths into Data Scientist roles include Data Analyst, Statistician, Quantitative Researcher.
From here, career progression typically leads toward Senior Data Scientist, ML Engineer, AI Product Manager.
Start with statistics and SQL. Build a real analysis project on public data that demonstrates insight generation alongside model building. The market values data scientists who can communicate findings clearly to business stakeholders. If you want to move toward ML engineering, invest in software engineering fundamentals and production deployment skills.
What to Expect in Interviews
Interviews combine statistics, coding, and business acumen. SQL is almost always tested, often with complex joins and window functions. Expect a case study round where you're given a business problem and asked to design an analysis plan. Coding rounds focus on pandas, statistical modeling, and visualization. The strongest differentiator is how well you communicate insights to non-technical stakeholders during presentation rounds.
When evaluating opportunities: Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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