Remote Jobs

Stripe logo

Engineering Manager, Go-to-Market Systems

Stripe

Location
United States of America
Posted
Salary Range
204k - 306k USD

Lead the development of scalable marketing systems at Stripe, leveraging AI/ML and GTM platforms to enhance customer engagement and streamline workflows.

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

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.

Reddit logo

Senior Data Scientist - Consumer

Reddit

Location
United States of America
Posted

Senior Data Scientist at Reddit: drive product strategy through data analysis and experimentation

Signifyd logo

Senior Data Scientist, Hungary

Signifyd

Location
Hungary
Posted

Senior Data Scientist at Signifyd: build production ML models, collaborate with engineering teams, and improve e-commerce shopping experience.

Heetch logo

Senior Product Data Scientist

Heetch

Location
Algeria
Posted

Join Heetch as a Product Data Scientist and drive business growth with data-driven decisions

StackAdapt logo

Senior/Staff Data Scientist

StackAdapt

Location
United States of America
Posted

Data Scientist at StackAdapt: Develop advanced machine learning algorithms to enhance advertising effectiveness and ROI.

StackAdapt logo

Senior/Staff Data Scientist

StackAdapt

Location
Canada
Posted

Join StackAdapt's Data Science Team as a Remote First Data Scientist and contribute to the development of advanced machine learning algorithms and production-grade ML models.

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.

Mozilla logo

Senior Data Scientist, Ads

Mozilla

Location
Canada
Posted
Salary Range
110k - 168k C$

Join Mozilla as a Data Scientist to drive impactful decisions with data, leveraging your expertise in statistical methods and cross-functional collaboration to shape the future of digital advertising.

Reddit logo

Senior Data Scientist - Ads

Reddit

Location
United States of America
Posted

Senior Data Scientist role at Reddit, leveraging data to maximize advertiser value on our platform, with flexible remote work options and comprehensive benefits.

Apollo.io logo

Senior Data Scientist - Go-To-Market (GTM)

Apollo.io

Job Summary

Apollo.io seeks a Senior Data Scientist to enhance Go-To-Market strategies through data-driven insights. The role involves analyzing customer acquisition channels, identifying opportunities to drive revenue growth, and collaborating with cross-functional teams. As a remote-first company, Apollo invests in employee growth, autonomy, and collaboration. The ideal candidate has experience in GTM Analytics, expertise in translating complex data into actionable insights, and proficiency with data analytics tools.

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Position Overview:

We are seeking a highly analytical and impact-driven Senior Data Scientist to enhance our Go-To-Market strategies through data-driven insights. In this role, you will focus on optimizing sales, support, or marketing efforts, analyzing customer acquisition channels, and identifying opportunities to drive revenue growth. You will collaborate closely with cross-functional teams, including Sales, Marketing, Finance, and Product, to inform and refine our GTM approach.

What You’ll Do:

  • Analyze GTM Performance and evaluate the effectiveness of various sales and marketing channels, campaigns, and initiatives to identify key drivers of customer acquisition and retention.
  • Create models to forecast sales trends, customer lifetime value, and churn, enabling proactive adjustments to GTM strategies.
  • Develop and utilize clustering and segmentation techniques to identify distinct customer groups, tailoring GTM strategies to each segment.
  • Work closely with Sales, Marketing, Finance, and Product teams to provide data-driven recommendations that enhance lead generation, conversion rates, and overall revenue.
  • Analyze pricing strategies and product offerings to determine optimal configurations that maximize market penetration and profitability.
  • Design and implement experiments to test the impact of different GTM tactics, ensuring continuous improvement and learning.
  • Develop and maintain dashboards that track key GTM metrics, providing transparency and actionable insights to stakeholders.

What You Bring:

  • Experience in GTM Analytics or similar role, with a proven track record in analyzing and optimizing sales and marketing strategies, preferably in a SaaS environment.
  • Expertise in translating complex data into insights that are actionable for cross-functional teams.
  • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
  • Experience in building and maintaining reliable analytics infrastructures.
  • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
  • Experience with 0 to 1 product initiatives is a plus, though not required.
  • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.

Qualifications:

  • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
  • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
  • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
  • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
  • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

As a remote-first company, we invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.