PubMatic delivers superior revenue to publishers by being an SSP of choice for agencies and advertisers. PubMatic’s cloud infrastructure platform for digital advertising empowers app developers and publishers to increase monetization while enabling media buyers to drive return on investment by reaching and engaging their target audiences in brand-safe, premium environments across ad formats and devices. Since 2006, PubMatic has been expanding its owned and operated global infrastructure and continues to cultivate programmatic innovation. With a globally distributed workforce and no corporate headquarters, PubMatic operates 16 offices and eight data centers across North America, Europe, and Asia Pacific.

PubMatic is immediately hiring a strong Data Scientist or Machine Learning Engineer to join our growing team remotely.

Reporting to the Associate Director of Machine Learning in Pacific Time, you will partner with Product and Engineering teams to solve problems with Machine Learning to identify trends and opportunities for the business. The ideal candidate will apply quantitative analysis, modelling, and data mining to help drive informed product decisions for PubMatic.

Responsibilities

• Perform deep dive analysis to understand and optimize the key product KPIs
• Apply statistics, modelling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products
• Conduct data analysis to make product recommendations and design A/B experiments
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations

• BE/BTech or MTech degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)
• 2+ years of hands-on experience with design + implementation of Machine Learning models for solving business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib
• Experience with articulating product questions and using statistics to arrive at an answer
• Experience with scripting in SQLextracting large data sets and design of ETL flows
• Work experience in an inter-disciplinary/cross-functional field
• Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation
• Distinctive problem-solving skills and impeccable business judgment
• Capable of translating analysis results into business recommendations

#LI-MD1

Additional Information

Coronavirus notice: PubMatic is actively working to ensure candidate and employee safety. Currently, all hiring and onboarding processes at PubMatic will be carried out remotely through virtual meetings until further notice.

Benefits: Our benefits package includes the best of what leading organizations provide, such as stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!

Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Understanding the problem statement, previous work done and coming up with a plan based on literature survey, discussion with experts etc.
• Implement the algorithms in Python using off-the-shelf libraries
• Data generation to train/validate the model , if needed
• Testing and improving the model
• Documentation of the code and the work done

• Basics understanding of Aerodynamics, Probability , Data interpretation
• Good experience in coding , Machine Learning techniques

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Entry Level / Débutant / Anfänger / Recién titulado

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Requirements

• Minimum 2 years exp. in R/RStudio
• Hands-on experience in Python Programming
• ML libraries
• Statistical Analysis
• Willingness to learn new Data Analytics & AI/ML technologies
• As a senior ML developer, this role involves direct interaction with customer, to understand requirements and to solve machine learning problems with R/Python
• Nice to haveAWS or GCP or Azure experience

Senior Technical Support Technician

At Dell Technologies, world-class service doesn’t end when a customer purchases our innovative products. Our Technical Support team is there for them whenever they need help – by phone or email, online and on social media. No matter how complex the challenge, we rise to it. We answer questions about the installation, operation, configuration, customization and use of Dell Technologies products. For critical matters, we use our systems to provide remote diagnostic technical support. If there’s an issue with a customer’s product, we’ll analyze it, identify the cause, recommend a solution and document the problem.

Join us as a Senior Technician on our Product Services team in RemoteIndia to do the best work of your career and make a profound social impact.

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your lifewhile still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

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