Remote Jobs

ElevenLabs logo

Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

Uberall logo

Data Operations Specialist

Uberall

Location
Philippines
Posted

Data Operations Specialist at Uberall: Join our team and provide expert location data support to clients, with opportunities for growth and development in a mission-driven culture.

Welocalize logo

Data Operations Engineer

Welocalize

Location
Mexico
Posted

Data Operations Engineer at Welocalize: Develop and maintain robust ETL processes, scalable data pipelines, and reliable data transformations for BI and analytics purposes.

Podium logo

Data Operations Engineer

Podium

Location
United States of America
Posted

As a Data Ops Engineer at Podium, you'll ensure data systems are fast, reliable, and scalable while supporting cutting-edge AI projects. You'll work with Elasticsearch, Kafka, RabbitMQ, Redis, and PostgreSQL to optimize performance and automate infrastructure using Terraform and Ansible.

Adaptavist logo

Data Protection & Privacy Manager

Adaptavist

Location
Canada
Posted

Data Protection & Privacy Manager at The Adaptavist Group - lead global data compliance initiatives, establish privacy governance framework, respond to data breaches

Canonical logo

Data Governance Engineer

Canonical

Location
Cameroon
Posted

Data Governance Engineer at Canonical: Develop data governance policies and processes for compliance with internal policies and regulatory frameworks.

Binance logo

Data Analyst

Binance

Location
Brunei Darussalam
Posted

Data Analyst at Binance: Analyze large transactional data, build visualizations & machine learning models, translate findings into simple recommendations.

reserv logo

Data Analyst

reserv

Location
Georgia
Posted

Data Analyst at Reserv, working on AI-driven claims automation and delivering high-fidelity data insights.

Welltech logo

Data Analyst

Welltech

Location
Spain
Posted

Join Welltech as a Data Analyst and contribute to creating impactful solutions for users in the Health & Fitness industry.

BPM LLP logo

Data Analyst

BPM LLP

Location
India
Posted

Data Analyst at BPM: Develop Qlik dashboards, manage ad-hoc data requests, and collaborate with cross-functional teams in a forward-thinking accounting firm.

Restaurant365 logo

Manager, Data Engineering

Restaurant365

Location
United States of America
Posted
Salary Range
165k - 198k USD

Lead Restaurant365's Data Engineering team, driving impactful data products for a SaaS platform in the restaurant industry. Manage cross-functional projects, mentor team members, and leverage advanced tools like GCP, dbt, Fivetran, and Apache Airflow to enhance business outcomes.

Udacity logo

Software Engineer, Data

Udacity

Location
India
Posted

Design and develop data solutions using Apache Spark, Scala, Airflow, Postgres, and Redshift on AWS

Nuna logo

Senior Data Engineer

Nuna

Location
United States of America
Posted
Salary Range
162k - 198k USD

Design and implement scalable data platforms for value-based care at Nuna. Work on production-hardened systems, mentor junior engineers, and collaborate with a team to drive innovation in healthcare technology.

Wealthfront logo

Senior Data Engineer

Wealthfront

Location
United States of America
Posted
Salary Range
185k - 228k USD

Design and maintain core datasets at Wealthfront, collaborate with cross-functional teams, ensure high-quality data for impactful decision-making, and contribute to building a best-in-class data infrastructure.

Goodnotes logo

Senior Data Engineer

Goodnotes

Location
Brunei Darussalam
Posted

Data engineer position at Goodnotes, building data pipelines and analytics infrastructure with expertise in ETL, ELT, distributed systems, and big data solutions.

Kueski logo

Senior Data Engineer

Kueski

Location
Mexico
Posted

Data Engineer en Kueski: Diseña soluciones sólidas y escalables basadas en datos para respaldar las necesidades a largo plazo de los consumidores de datos. Salario competitivo, bienestar y tiempo de trabajo flexible.

Workiva logo

Senior Data Engineer

Workiva

Location
United States of America
Posted
Salary Range
111k - 178k USD

Design and develop scalable data pipelines using Airbyte, Kafka, and Snowflake. Build modular transformations with dbt and optimize data serving layers for high-performance data products. Collaborate with cross-functional teams and drive innovation in data engineering technologies at Workiva.

Trafilea logo

Senior Data Engineer

Trafilea

Location
Argentina
Posted

Build and maintain data pipelines using Apache Airflow and AWS technologies at Trafilea. Collaborate with architects to ensure best practices in data engineering while contributing to the company's growth through scalable solutions.

Zencore logo

Senior Data Engineer

Zencore

Location
Croatia
Posted

Join Zencore as a Data Engineer to leverage your expertise in Google Cloud and cloud-native tools to help companies transform their data infrastructure. Work with cutting-edge technologies like BigQuery, Snowflake, Spark, Hadoop, and Apache Airflow while collaborating with innovative teams. Enjoy competitive compensation and remote work flexibility.

Senior Data Engineer

Coursera

Location
India
Posted

Join Coursera's Data Engineering team as a Senior Data Engineer and shape the future of data-driven decision-making.

ElevenLabs logo

Data Scientist - Marketing

ElevenLabs

Job Summary

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.

About ElevenLabs 

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! 

Who we are

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.

 

About the role 

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.

Who you are

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.

What you bring

  • 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.

What we offer

  • 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.

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