Urgent! Lead Data Scientist Job Opening In New Delhi – Now Hiring Media.net
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
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in New Delhi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in New Delhi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 318931 jobs in India and 11554 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Media.net is currently hiring and seeking a Lead Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Data Scientist Jobs New Delhi.
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:The average salary range for a Lead Data Scientist Jobs India varies, but the pay scale is rated "Standard" in New Delhi. 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.
Key qualifications for Lead Data Scientist typically include Prb and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Data Scientist interview at Media.net, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Media.net's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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