10.0L - 20.0L

  • ROLE
    Data Analyst

    New Delhi, IN

    Mid-Level, Senior

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At AdPushup, our mission is to help keep the world's information free and accessible. This means helping the publishers and website owners to realize more money from their traffic while keeping the users happy.

We work on a lot of interesting challenges in AdPushup. It's usually fun, followed by exasperation, and then some more fun! We're working on numerous patent-pending technologies and are truly disrupting the publisher side AdTech industry.

The role of the Data Scientist is to work on our ad optimization engine which is the key to achieving increased ad revenues.

We're a small tech team right now (<6) - so you'll be in our core team. You can create a BIG impact - if that's your thing (and if not - we probably aren't a good fit). 



Must Haves:

  • Creative approach to a problem solving.

  • Statistical modelling experience and technical engineering skills.

  • Experience in Data visualization.

  • Experience in dealing with structured, unstructured and real-time data

  • Experienced with any one of the following - Go, Java, Python, R, Scala, Hive, Pig etc.

  • Working experience with all or some of the following frameworks/tools - ElasticSearch, Kibana, Spark, Solr, Hadoop, Hive, Storm, Mahout etc.

Nice to have:

  • Experience on working / designing highly scalable data ingestion and processing systems.

  • Experience in A/B testing, probability theory, Bayesian bandits etc.


Sleep at work

Free Food & Drinks

Flexible Work Hours

Work From Home


AdPushup is an automated advanced A/B testing (a proprietary multi-arm bandit algorithm) tool that optimizes display ads layout for increased click through rate. By seamlessly integrating with existing ad networks, our platform enables web publishers and bloggers to create and test various ad placements, sizes and types to see which one is making the most revenue.
Our machine learning algorithm helps publishers, who are monetizing their website on a CPC/PPC (Cost-per-Click/Pay-per-Click) model, fight banner blindness by continuous optimization.


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