Gong is a data driven AI company, providing value to sales organizations by collecting all content and interactions between salespeople and their prospects, and using models to drive both descriptive, predictive and prescriptive value to the sales teams.
Our data is big, but more than that, it is wide, as we collect all kinds of communications channels and content, to pull deep actionable insights.AI at Gong has a high impact on the product, as we work closely with design partners in short feedback cycles to ensure the business value that our models bring in production.As a Senior Data Scientist, you’ll join a team of data scientists, data engineers and data analysts who develop in-house the algorithms that power Gong's predictive models for the Gong product.
Our models leverage information from text, audio, and video interactions—such as calls and emails—to generate powerful predictions that help top organizations worldwide achieve superior results.You will:
- Build predictive and prescriptive models, selecting the best technology to translate unstructured data into actionable predictions.
- Closely collaborate with Product, Engineering and Design Partners to translate business questions through research into models running in production at huge scale.
- Adopt and develop processes for improving existing models and pipelines.
- Foster professional growth for yourself and your colleagues through collaborative work, mentoring, and contributing to weekly brainstorming sessions.
- Stay current with the latest advancements in machine learning to continuously enhance our models.
You have:
- Subject matter expertise in predictive modeling, including modeling propensity to upgrade, survival and churn analysis, time to event etc., including in recent Deep Learning based methods
- Excellent business understanding and communication skills
- Intimate familiarity with a variety of ML disciplines and algorithms
- Proven experience in deploying predictive models in a production environment
- A BSc degree in exact science fields with 4+ years of relevant experience in machine learning research in the industry
Advantageous if you have:
- Background as a Data Analyst
- Familiarity with large scale data processing tools a.s. spark/argo/air-flow.
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