Remote Jobs

ElevenLabs logo

Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

ScienceLogic logo

Data Scientist

ScienceLogic

Location
United States of America
Posted

Data Scientist at ScienceLogic - leverage data to drive business outcomes with predictive models and machine learning algorithms.

MyTraffic logo

Data Scientist

MyTraffic

Location
Spain
Posted

Data Scientist at Mytraffic: Design & develop predictive models, analyze spatial databases, collaborate with cross-functional teams, and communicate complex analyses to stakeholders.

Gauntlet logo

Data Scientist

Gauntlet

Location
United States of America
Posted
Salary Range
125k - 190k USD

Join Gauntlet as a Data Scientist to optimize DeFi protocols, conduct cutting-edge research, and manage client engagements while enjoying remote flexibility and attractive benefits.

Welocalize logo

Data Scientist

Welocalize

Location
Argentina
Posted

Data Scientist for Welo Data - Develop predictive models, drive business decisions with advanced analytics techniques

Rackspace logo

Data Scientist

Rackspace

Location
Egypt
Posted

Data Scientist job at Rackspace Technology, leveraging AWS integrations and modern ML frameworks to drive innovation and solve real-world business problems.

JustAnswer logo

Data Scientist / Applied AI Scientist

JustAnswer

Location
India
Posted
Salary Range
100k - 150k USD

Join JustAnswer as a Data Scientist and use your expertise in machine learning and data analysis to solve real-world problems. Collaborate with cross-functional teams to drive business outcomes through innovative solutions.

JustAnswer logo

Data Scientist / Applied AI Scientist

JustAnswer

Location
Ukraine
Posted

Join our AI team as a Data Scientist to drive impactful solutions using predictive modeling and machine learning techniques, contributing to business growth and innovation.

StackAdapt logo

Data Scientist / Senior Data Scientist

StackAdapt

Location
Canada
Posted
Salary Range
150k - 250k USD

Develop and ship impactful computer vision features using tools by Roboflow, collaborate with a talented team, and create innovative AI solutions that make the world programmable.

StackAdapt logo

Data Scientist / Senior Data Scientist

StackAdapt

Location
United States of America
Posted

Join StackAdapt as a Data Scientist to innovate ML algorithms for advertising performance, collaborate with engineers, and enjoy comprehensive benefits in a remote-friendly environment.

Simple app logo

Lead Data Scientist

Simple app

Location
Cyprus
Posted

Lead Data Scientist at Simple: Enhance AI algorithms, lead projects, and advance personalization using strong data analysis skills and expertise in modeling.

Upwork logo

Lead Data Scientist

Upwork

Location
United States of America
Posted
Salary Range
158k - 184k USD

Lead Data Scientist role at Upwork, analyzing marketplace dynamics with data science expertise

TrueML logo

Data Scientist II

TrueML

Location
Argentina
Posted
Salary Range
44k - 79k USD

Join TrueML as a Data Scientist to leverage your skills in Python, pandas, SQL, and machine learning tools to drive impactful solutions for distressed borrowers using data-driven approaches.

Binance logo

Data Scientist (NLP)

Binance

Location
Brunei Darussalam
Posted

Data Scientist (NLP) position at Binance, utilizing internal data to train models and develop applications for business decision-making.

Binance logo

Data Scientist(LLM)

Binance

Location
Taiwan, Republic of China
Posted

Data Scientist (LLM) job at Binance for cutting-edge research and development of large language models and AI technologies.

OfferFit logo

Staff Data Scientist

OfferFit

Location
Brazil
Posted

Optimize live ML models using Reinforcement Learning and Causal ML at OfferFit. Collaborate with engineering teams to improve algorithms and deploy recent advances in production. Enjoy generous benefits including remote work flexibility and team support.

Whatnot logo

Data Scientist - Product Analytics

Whatnot

Location
United States of America
Posted
Salary Range
158k - 205k USD

Data Scientist - Product Analytics at Whatnot: drive growth and improve user experience through data science methodologies

Simple app logo

Senior Data Scientist

Simple app

Location
Cyprus
Posted

Senior Data Scientist role at Simple, developing AI-powered health solutions with 15 million users, utilizing machine learning algorithms and modern data science techniques.

StackAdapt logo

Senior Data Scientist

StackAdapt

Location
Canada
Posted

Data Scientist at StackAdapt: Innovate ML algorithms, write production code, and optimize advertising performance.

Alma logo

Lead Data Scientist - Analytics

Alma

Location
United States of America
Posted
Salary Range
170k - 190k USD

Lead data-driven initiatives at Alma to enhance customer acquisition and optimize marketing strategies through statistical analysis, A/B testing, and cross-functional collaboration with Product, Engineering, and Marketing teams. Utilize SQL and R/Python for impactful projects.

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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