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Lead Data Scientist Job Opening In Bengaluru – Now Hiring Media.net


Job description

Role : Senior Data Scientist / Lead Data Scientist


About Media.net :

Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue.

Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry-standard in ad buying for digital platforms.


The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search.

Media.net’s U.S. HQ is based in New York, and the Global HQ is in Dubai.

With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services.


Data Science is at the heart of Media.net.

The team uses advanced statistical and machine learning and deep learning models, large scale distributed computing along with tools from mathematics, economics, auction theory to build solutions that enable us to match users with relevant ads in the most optimal way thereby maximizing revenue for our customers and for Media.net.


Some of the challenges the team deals with:

  • How do you use information retrieval, machine learning models to estimate click through rate and revenue given the information regarding the position of the slot, user device, location and content of the page.

    How do you scale the same for thousands of domains, millions of urls?
  • How do you match ads to page views considering contextual information?

    How do you design learning mechanisms to continuously learn from user feedback in the form of clicks and conversions?

    How do you deal with the extremely sparse data?

    What do you do for new ads and new pages?

    How do we design better explore-exploit frameworks?

    How do you design learning algorithms that are fast and scalable?
  • How do you combine contextual targeting with behavioral user-based targeting?
  • How do you establish a unique user identity based on multiple noisy signals so that behavioral targeting is accurate?
  • Can you use NLP to find more genetic trends based on the content of the page and ads?


What is in it for you?


  • Understand business requirements, analyze and extract relevant information from large amounts of historical data.
  • Use your knowledge of Information retrieval, NLP, Machine Learning (including Deep Learning) to build prototype solutions keeping scale, speed and accuracy in mind.
  • Work with engineering teams to implement the prototype.

    Work with engineers to design appropriate model performance metrics and create reports to track the same.
  • Work with the engineering teams to identify areas of improvement, jointly develop research agenda and execute on the same using cutting edge algorithms and tools.
  • You will need to understand a broad range of ML algorithms and appreciation on how to apply them to complex practical problems.

    You will also need to have enough theoretical background and a good grasp of algorithms to be able to critically evaluate existing ML algorithms and be creative when there is a need to go beyond textbook solutions.


Who should apply for this role ?


  • PhD/Research Degree or BS/MS in Computer Science, Statistics, Artificial Intelligence, Machine learning, Operations Research or related field.
  • 6 - 8 years of experience in building Machine Learning/AI/Information Retrieval models
  • Extensive knowledge and practical experience in machine learning, data mining, artificial intelligence, statistics.
  • Understanding of supervised and unsupervised algorithms including but not limited to linear models, decision trees, random forests, gradient boosting machines etc.
  • Excellent analytical and problem-solving abilities.
  • Good knowledge of scientific programming in Python.
  • Experience with Apache Spark is desired.
  • Excellent verbal & written communication skills

Bonus Points:

  • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences such as ICML
  • Knowledge in several of the following: Math/math modeling, decision theory, fuzzy logic, Bayesian techniques, optimization techniques, statistical analysis of data, information retrieval, natural language processing, large scale data processing and data mining
  • Ability deal with ambiguity & break them down into research problems
  • Strong theoretical and research acumen

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Are You Looking for Lead Data Scientist Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Media.net adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Data Scientist Job Success

Media.net interview tips for Lead Data Scientist

Here are some tips to help you prepare for and ace your Lead Data Scientist job interview:

Before the Interview:

Research: Learn about the Media.net's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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To prepare for your Lead Data Scientist interview at Media.net, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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