Airtable · 9 hours ago
Data Scientist, GTM Analytics
Syracuse-Auburn Area
Full-time
Hybrid
Mid, Senior Level
$180K/yr - $222K/yr
4+ years expAirtable is the no-code app platform that empowers organizations to transform how work gets done. They are seeking a Data Scientist to work with business stakeholders, focusing on building data products that enhance the efficiency of Customer Engagement teams and drive business growth.
DatabaseDeveloper ToolsSaaSSoftware
Responsibilities
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
Qualification
Required
Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
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
Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful
Preferred
MS/MBA preferred
Hands-on experience with batch LLM pipeline is preferred
Benefits
The opportunity to receive benefits
Restricted stock units
Incentive compensation
Company
Airtable
Airtable is a cloud-based software company that offers an online platform for creating and sharing relational databases.
501-1000 employees
H1B Sponsorship
Airtable has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (12)
2023 (16)
2022 (40)
2021 (28)
2020 (11)
Funding
Current Stage
Late StageTotal Funding
$1.35BKey Investors
XNGreenoaksThrive Capital
2022-07-01Secondary Market
2021-12-13Series F· $735M
2021-03-15Series E· $270M
Leadership Team
Howie Liu
Cofounder, CEO
Andrew Ofstad
Co-founder
Recent News
Crunchbase News
2025-12-09
2025-12-02
Company data provided by crunchbase