Data Scientist, GTM Job at Airwallex (San Francisco)

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Data Scientist - AI Tooling

The Research, Analytics & Data Science (RAD) team turns insight into action. We ...

Location

Germany , Berlin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven track record of applied data science with measurable GTM impact
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders
Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables

Job Responsibility

Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion)
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams

What we offer

Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
MacBooks are our standard, but we also offer Windows for certain roles when needed
Fun events for Intercomrades, friends, and family

Fulltime

Senior Data Scientist - AI Tooling

The Research, Analytics & Data Science (RAD) team turns insight into action. We ...

Location

Ireland; United Kingdom , Dublin; London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven track record of applied data science with measurable GTM impact
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders
Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables

Job Responsibility

Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion)
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Data Science Manager (GTM)

You will be part of a world-class Data Science team that leverages data to drive...

Location

United States

Salary:

167100.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics or related fields
2+ years of experience managing teams of 4+
Advanced proficiency in SQL and knowledge of another data science programming language (e.g. Python, R)
Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses

Job Responsibility

Collaborate on a variety of marketing and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
You will use data to shape marketing strategy, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
You will use storytelling techniques to communicate insights broadly, including to company leadership teams
Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support
Work with your team to help them grow through coaching in technical, analytical, and soft skills

What we offer

Health and wellbeing resources
Paid volunteer days
and so much more

Fulltime

New

Senior Data Scientist

We’re hiring a Senior Data Scientist to embed deeply with Harvey’s rapidly growi...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or GTM analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Expertise working with Salesforce and Sales activity data
Strong experience with modern data stack, such as DBT, Looker and Omni
Proficiency in quantitative programming languages, such as Python and R
Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
Strong communication skills, with the ability to effectively partner with leaders across RevOps, Customer Success, Marketing and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Job Responsibility

Embed with the GTM organization as a trusted partner, uncovering new ways to improve the business and drive growth
Define, track, and evolve core metrics across GTM and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making
Design, implement, and evaluate models (Logistic Regression, K-Means Clustering) for comprehensive customer behavior and retention performance
Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization
Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives
Partner with RevOps, Marketing and GTM to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling
Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business
Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey

What we offer

Offers Equity
Offers Bonus
Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO

Fulltime

Senior Data Engineering Manager

The volume and velocity of data at Intercom are exploding, fueled by our growth ...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

7+ Years Experience: You have a proven, full-time career history in the data space, leading teams of 6+ Engineers.
Stakeholder Focus: You can communicate complex technical solutions to a business focused audience and vice versa. You are comfortable interacting with stakeholders across the entire breadth of the business.
Technical Depth: Your team will be responsible for the majority of execution, but you’re not afraid to get your hands dirty and write code when it’s needed. You lead from the front.
A Leader & Mentor: You naturally recognize opportunities to step back and mentor others, understanding when your guidance will multiply the team's output.

Job Responsibility

Next-Gen Platform Evolution: Partner with product and business teams and lead the architectural design and implementation of the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.
Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build the self-service tooling and infrastructure they need to move fast and deploy safely.
Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment (where dozens of changes can ship daily).
Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.
GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business focused internal software.
Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible, users should be able to query information—getting both raw numbers and contextual narratives instantly—without needing a data science degree or waiting on analysts.
Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure and to ensure it can scale exponentially for future growth and advanced use cases.

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed.

Fulltime

Senior Data Engineering Manager

The Data Engineering team is the critical engine powering Intercom's future. We ...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

7+ Years Experience: You have a proven, full-time career history in the data space, leading teams of 6+ Engineers.
Stakeholder Focus: You can communicate complex technical solutions to a business focused audience and vice versa. You are comfortable interacting with stakeholders across the entire breadth of the business.
Technical Depth: Your team will be responsible for the majority of execution, but you’re not afraid to get your hands dirty and write code when it’s needed. You lead from the front.
A Leader & Mentor: You naturally recognize opportunities to step back and mentor others, understanding when your guidance will multiply the team's output.

Job Responsibility

Next-Gen Platform Evolution: Partner with product and business teams and lead the architectural design and implementation of the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.
Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build the self-service tooling and infrastructure they need to move fast and deploy safely.
Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment (where dozens of changes can ship daily).
Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.
GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business focused internal software.
Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible, users should be able to query information—getting both raw numbers and contextual narratives instantly—without needing a data science degree or waiting on analysts.
Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure and to ensure it can scale exponentially for future growth and advanced use cases.

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
Cycle-to-Work Scheme. With secure bike storage
MacBooks are our standard, but we also offer Windows for certain roles when needed.

Fulltime

New

Staff Data Scientist, GTM Analytics

We’re looking for talented Data Scientist who can push the boundaries of our exi...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline)
Strong analytical intuition and structured problem-solving
Excellent communicator and storyteller
Deep curiosity about GTM performance and customer behavior
Strong foundations in causal inference and forecasting
High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation

Job Responsibility

Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion

Fulltime

Data Scientist, GTM

Airwallex

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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