Data Scientist, Growth
San Francisco, CA
Airtable
Airtable is a low‒code platform to build next‒gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.Airtable's unique approach to enabling end-user software creation has struck a chord with users across many industries and use cases. Our accelerating growth, coupled with our ambitious product surface area, brings many challenges. As one of the early members of the Data Science team, you will play a crucial role in shaping the future of Airtable by deepening our understanding of how people use the open-ended toolkit that Airtable offers. You’ll work cross-functionally to identify and answer our most important questions, transforming raw data into understandable and actionable insights.
What you'll do- Partner with product, engineering, and design teams to help drive insights, identify opportunities, and understand user behavior and long-term trends.
- Define, understand, and test opportunities and levers for growth, and drive roadmaps through your insights and recommendations.
- Perform deep dive analysis to understand and optimize the key levers for growth.
- Analyze and design experiments, and help develop and socialize a rigorous culture of experimentation throughout the company.
- Define and monitor key metrics through consistent tracking, KPI’s, and dashboards.
- Proactively socialize insights, dashboards, and reports with technical and non-technical audiences.
- Collaborate with data and engineering teams to design scalable and future-proof instrumentation.
- You have 3+ years previous experience as a data scientist, data analyst, or data engineer, preferably within a Growth org.
- You have the ability to translate raw data into meaningful business insights and be able to tell a story with data
- You have strong knowledge of statistics and experimental design.
- You possess a natural curiosity and strive to uncover the deeper relationships that are not always immediately discoverable.
- You have experience writing and optimizing complex SQL queries for large data sets and are familiar with a scientific programming language, such as R or Python.
- You are an excellent storyteller and able to communicate your findings with clarity and precision, whether through writing or visualizations.
What We Offer
- We have your medical, dental, and vision insurance 100% covered (and your dependents covered at 65%)
- Complimentary One Medical membership for individuals and dependents
- High deductible health plan with health spend account contribution
- $250 monthly wellness stipend during COVID
- Mental health support
- Family planning support (fertility, adoption, and surrogacy)
- Flexible and generous time off and sick time benefits
- 16 weeks of parental leave
- Learning & Development: we offer a $2,000 per year stipend for your personal career development
About Airtable
Airtable is working on the next computer revolution: one where anyone – even without technical training – can create customized applications that fit their needs, build more interconnected teams, and take part in a growing community of people who share what they create. Founded in 2012 and headquartered in San Francisco, Airtable powers teams at more than 250,000 organizations around the world. Our most recent funding round valued Airtable at $5.77 billion and raised $270 million in additional capital, and we're just getting started!
Tags: Airtable Engineering Python R SQL Statistics
Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Databricks-related jobs