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Senior GTM Data Scientist

PandaDoc·$185,000 – $185,000

Job description

About the Position

We're seeking a Senior GTM Data Scientist to join our team at PandaDoc, leveraging data to drive growth and marketing strategies.

Responsibilities

  • Utilize data science to develop and implement growth and marketing strategies
  • Analyze large datasets to identify trends and insights
  • Collaborate with cross-functional teams to drive data-driven decision making

Requirements

  • Proficiency in Data Science
  • Strong analytical skills and experience with large datasets
  • Ability to work collaboratively in a team environment

We Offer

  • An annual range for this role of $185k OTE, which includes both base and variable pay

About the Company

PandaDoc is a leading software company specializing in document automation and e-signature solutions.

© PandaDoc. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Company Overview:PandaDoc empowers more than 40,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.Company Culture:We’re known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.Pandas work best when they’re happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.PandaDoc Tech Stack:Server part: Microservices, Python, Django, AsyncIO, NATS, Kafka, Amazon Web Services (AWS), PostgreSQL, Java, Hibernate, Spring Boot, RabbitMQ, Vertex, Docker.Client part: JavaScript, React, Redux, Redux-saga, Sass/styled components, webpack, jest/enzyme.Infrastructure: AWS (S3, Route53, EC2, VPC, KMS, ElasticCache, Cloudfront, Redshift and RDS), Terraform, Docker, Gitlab CI/CD, NATS, RabbitMQ, Kafka, NGINX, PostgreSQL.Mobile app: JavaScript, React, React Native, Redux, Mobile Web.

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