Top Marketing Tech Data Science Jobs in New York City, NY

Collaborate with customers on data science projects, improve ML model architectures, and support product strategy in a client-facing role.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

As a Data Science Director, you will lead the data team, drive data strategies for clients, oversee projects, and nurture your team to deliver exceptional performance.

As a Data Scientist at Profound, you'll build predictive models, optimize AI-driven brand visibility, and turn data insights into actionable strategies. Requires proficiency in Python, R, and SQL, with 3+ years of analytics experience.

The Data Science Analyst will automate data tasks, conduct ad-hoc analyses using SQL and Python, and collaborate with teams to optimize marketing performance.

The Associate Director of Data Science partners with planning teams, builds ML models, analyzes campaigns, manages projects, and trains junior members.

The Director, Data Science will lead a global team in advanced modeling and AI initiatives to enhance healthcare marketing through data science. Responsibilities include managing projects, developing machine learning models, ensuring compliance with healthcare standards, and collaborating cross-functionally.

Work with media strategists, data scientists, and engineers to design and execute campaign measurement, experimentation, and optimization. Manage projects, ingest and clean data, perform statistical analyses, build reproducible Python/SQL solutions, create client-facing reports and dashboards, and help productionalize tools to improve media performance and business outcomes.

Momenti seeks a Data Scientist to analyze user gesture data and improve content interaction. Responsibilities include developing data pipelines and visualizing user behavior insights.