
Data Scientist - Marketing
ElevenLabs
- Location
- Canada
- Posted
Data Scientist for paid marketing analytics and operations at ElevenLabs
ElevenLabs
Data Scientist for paid marketing analytics and operations at ElevenLabs
Eventbrite, Inc.
As a Sr. Marketing Data Analytics Manager at Eventbrite, you'll leverage data to optimize marketing strategies, collaborate with senior leaders, and drive impactful insights using tools like SQL, Tableau, and Snowflake.
Constructor
Data Analyst at Constructor: Analyze ecommerce trends, develop data-driven narratives, and create visualizations to inform retailers and industry professionals.
Automattic
Marketing Data Engineer at Automattic: Design ETL pipelines, ensure data quality, and establish scalable data architecture for marketing data unification.
Binance
Lead Data Scientist for search recommendation services and models using rich data and cutting-edge machine learning tech
Rocket Money
Manage Rocket Money's marketing technology systems, support growth strategies, collaborate with cross-functional teams, and drive data-driven decisions to optimize processes and implement new tools.
Binance
Data Scientist (TechOps) at Binance Accelerator Program - Build personalized services, analyze large data sets, and collaborate with world-class talent on fast-paced projects.
StackAdapt
Senior Data Scientist, Mobile App User Acquisition at StackAdapt: Develop & optimize machine learning algorithms for mobile advertising effectiveness
Dropbox
Demand generation lifecycle marketer for Dropbox, focusing on nurture marketing strategies, lead scoring, and campaign optimization.
Reka
Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.
Yuno
Data Engineer at Yuno: Design & build scalable data pipelines, collaborate with teams, & drive innovation in payment infrastructure.
Pagos
Build and maintain scalable data pipelines using technologies like SQL, Redshift, Apache Spark, and cloud platforms. Collaborate with backend engineers and contribute to our payments platform.
Red Canary
Design and build scalable data infrastructure at Red Canary. Develop and manage data products, ensuring high-quality data for cross-functional teams to drive innovation and growth.
Eneba
Data Engineer at Eneba: build data pipelines, collaborate with ML engineers, and improve internal processes.
StackAdapt
Join StackAdapt as a Data Engineer to design scalable data pipelines and implement ML algorithms for their advertising platform. Enjoy competitive salary, equity, RRSP matching, health benefits, work from home support, training programs, mentorship, and a supportive culture in this remote-first role.
Rackspace
Databricks SRE for Finance Data Repository (FDR) with expertise in infrastructure design, security, and optimization.
Apollo.io
Lead product marketing for Apollo's data and enrichment offerings. Shape strategy, launch features, and drive adoption through cross-functional collaboration and GTM campaigns.
Apollo.io
Senior Data Scientist for Go-To-Market at Apollo.io - drive revenue growth through data-driven insights
Lumos
Data Lead at Lumos: Drive business growth through data-driven insights
COMPLY
Assist clients with data reconciliation projects, maintain site configurations, and lead multiple projects to meet deadlines while utilizing tools like Salesforce, Jira, and Python. Enjoy comprehensive benefits and remote work flexibility at COMPLY.
ElevenLabs
ElevenLabs is a pioneering voice technology company seeking an experienced Data Scientist to lead analytics and operations for paid marketing efforts. The role involves building and optimizing dynamic LTV models, creating intuitive dashboards, and conducting detailed analysis to uncover trends and opportunities. The ideal candidate combines technical excellence with ethical awareness, has a strong work ethic, and is passionate about audio AI. With high-velocity innovation, remote-first work options, and continuous growth opportunities, ElevenLabs offers a unique chance to be an early member of a company on the rise.
This role is remote, so it can be executed globally. If you prefer, you can work from our offices in New York, London and Warsaw.
At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products.
We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We have closed our Series-B funding at 1.1B valuation earlier this year and are backed by the leading names in tech and AI (Nat Fridman, Daniel Gross, Andreessen Horowitz, Sequoia, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, Deepmind & Inflection co-founder Mustafa Suleyman, and many others).
We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you!
A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone.
We’re looking for an experienced, hands-on Data Scientist to lead analytics and operations for our paid marketing efforts. This role is central to significantly scaling our reach across digital and traditional paid marketing channels and platforms, ensuring our investments in paid marketing are driving measurable business outcomes.
In this role you will:
Own our marketing measurement strategy – from attribution modeling to incrementality testing – ensuring we have a crystal-clear view of what drives performance across our marketing mix.
Build and optimize dynamic LTV models that power our spend decisions, helping us target the right customers and maximize ROI across both B2B and B2C segments.
Create intuitive dashboards and reporting systems that track campaign performance and uncover optimization opportunities across digital and traditional channels.
Conduct detailed analysis to uncover trends, opportunities, and areas for optimization.
Work with engineering to drive automation and efficiency by procuring, implementing and managing our MarTech stack, including our marketing automation and tag management systems that scale our marketing operations.
We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you:
Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.
We are seeking someone with a track record of driving meaningful business growth through paid marketing initiatives at a software company.
Experience building and scaling marketing measurement frameworks from the ground up, including multi-touch attribution models, incrementality measurements, LTV models, audience segmentations, etc.
Familiarity with analytics tools across the modern data and MarTech stack (SQL, python, BI tools, dbt, Google Tag Manager, etc.)
Bonus experience:
Technical enough to dive into the codebase when needed – whether it's implementing tracking pixels, building data pipelines, or stitching data together across disparate data sources.
Experience working on a dual B2C/B2B business models.
Experience implementing and scaling MarTech stacks.
High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!)
Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.
Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.
#LI-remote