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pubX is hiring - Data Scientist

Updated: May 24

pubX is an agile, fully-remote, VC-backed start-up building artificial intelligence and automation technology to revolutionise the digital publishing industry.

We work on greenfield projects to help digital publishers unlock greater revenues, improve operations and understand data to help ensure their existence into the future. Digital publishers are our customers but we are a technology company, developing scalable solutions to enable digital publishers to compete.

We believe that publishers are a cornerstone of society and democracy and that if current trends continue, publishers risk being lost to the world, along with truth, objectivity, and knowledge. They will likely be replaced by walled-garden, echo-chambers that fuel and foster hate.

Culturally we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

We are looking for a Data Scientist to help us build the future for digital publishing.

Reports To: CTO

Location: Remote, Bangalore-vicinity

Seniority: Mid/Senior

Package: Competitive Salary (based on experience and impact); Equity; Tech Covered; Unlimited Vacation; Global Team Meet-Ups

Employment type: Permanent

The Role/ Responsibilities

This position is based across our Dynamic Floor Pricing Tool and is key to supporting our sustained growth here.

We are seeking a talented and experienced Data Scientist to join our team. In this role, you will be responsible for building and maintaining our ad-tech platform using cutting-edge technologies, with a focus on AWS services, server-less architecture, lambdas, Python, Django, Vanilla JavaScript, and React.

The ideal candidate will have a strong background in Ad Tech/ Digital Publishing and experience working with highly scalable systems.


  • Conduct and own the lifecycle of Data Science experiments across pubX core products

  • Hypothesis testing. Designing and setting up experiments.

  • Analyse, design, build, query, troubleshoot and maintain Machine learning algorithms developed in Python.

  • What-if scenario analysis and prescriptive analytics

  • Generate reports and visualisations to explain the DS steps

  • Consolidate Experiments and explain results to various stakeholders


  • Strong proficiency in Python, SQL and specialized ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)

  • 3+ years of modelling experience with the top tools, such as Transformers, Tensorflow, XGBoost, Scikit Learn

  • Hands on experience with cloud development, especially AWS (in particular EC2, S3, ECS, RDS, Lambda)

  • First-hand experience working with relational/no-SQL databases and query technologies

  • Fundamentals in hosting and deploying models on a public cloud infrastructure

  • You understand how numbers from an excel sheet translate to real world transactions and operations. Good understanding of excel.

  • Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)

Interview Process:

Culture fit is extremely important to us as we are building an awesome team to solve huge problems and, aside from judging aptitude, this will be a large part of the interview process:

  • Culture Fit Interview

  • Role-Related interview with Line Manager/ Team

  • Role Related ‘Test’ (i.e. performing/ running through an element of the role in an interview)

  • Quick Meet the team

How to apply

Email with the subject "May 2023 Data Science Role" with your CV and a few words on why you're a good fit.

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