Research Analyst (AI)

TL;DR

Research Analyst (AI) (Python/R, SQL, BI): Producing financial and market intelligence, predictive analytics, and customized measurement products with an accent on data modeling, advertising optimization, and strategic reporting. Focus on designing A/B testing frameworks, forecasting trends, building attribution models, and integrating large-scale data sources to support management and client decisions.

Location: New York, New York; telecommuting permitted within the US pursuant to company policy.

Salary: $129,600–$158,400 per year

Company

xAI develops AI systems designed to understand the universe and support humanity’s pursuit of knowledge.

What you will do

• Produce financial, market, competitive, and client intelligence through data analysis and periodic reporting.
• Build mathematical models, predictive analytics, KPI frameworks, and attribution models to support strategic decisions.
• Optimize advertising campaigns and improve client performance metrics and return on ad investment.
• Develop customized measurement products and automated reporting systems using SQL and BI tools.
• Integrate third-party data sources, including Nielsen and Comscore, into analytics workflows.
• Consult with other teams through Data Science Center of Action meetings and represent the company with clients and partners.

Requirements

• Master’s degree or foreign equivalent in Business, Data Analysis, Administration, or a related field.
• At least 1 year of experience in the offered role, Data Analyst, or a related position.
• Experience applying Python and R for statistical modeling and predictive analytics.
• Experience with Tableau, Power BI, SQL, AWS, GCP, and Azure for dashboards and large-scale data processing.
• Experience with A/B testing, machine learning, econometrics, scenario analysis, and competitive benchmarking.
• Experience with programmatic advertising platforms, DSPs, data governance, and security standards.

Culture & Benefits

• Small, highly motivated organization focused on engineering excellence and challenging technical work.
• Flat structure with hands-on contribution expected from all employees.
• Strong emphasis on curiosity, initiative, prioritization, work ethic, and clear communication.
• Remote work within the US is permitted under company policy.