Data Scientist level III

Data Scientist level III page is loaded## Data Scientist level IIIlocations: MARKSQUARE, Bengaluru, INtime type: Vollzeitposted on: Vor 19 Tagen ausgeschriebentime left to apply: Enddatum: 5. Dezember 2025 (Noch 9 Tage Zeit für Bewerbung)job requisition id: R-21848Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.# **Job Description**Location:Bengaluru, KA**About The Role :** As a senior member of the Data Science and Machine Learning Engineering (DS/MLE) team you will be the technical expert that builds models for initiatives such as user personalization, recommendation systems and user behaviours. You will take a mentorship role within the DS/MLE team and work collaboratively with other business areas. ****About the Responsibilities:******Responsibilities include, but are not limited to:*** Design and develop advanced machine learning models for a variety of applications.* Work closely with data engineers and machine learning engineers to deliver products for hundreds of millions of users* Experiment and Innovate in AI & machine learning applications to Conde Nast’s Business problems* Mentor and guide junior team members, fostering a culture of innovation and excellence.* Effectively communicate complex technical concepts to both technical and non-technical audiences.* Stay up-to-date with the latest advancements in data science and machine learning.****MINIMUM QUALIFICATIONS***** Bachelor's with more than 5 years of relevant experience OR Masters with more than 3 years of relevant experience OR PhD with at least 2 years of relevant industry experience* Degree in Computer Science, Statistics, Mathematics, Econometrics, or other relevant fields* Strong fundamentals in algorithms and data structures, coding, ML system architecture design and deployment at scale* Experience in analysing complex problems and translate it into data science algorithms* Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.)* Experience in statistical analysis and experiment design* Strong software development skills with proficiency in Python* Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn* Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional teamWenn Sie an dieser Gelegenheit interessiert sind, bewerben Sie sich bitte unten, und wir werden Ihre Bewerbung So bald wie möglich überprüfen. Sie können Ihren Lebenslauf jederzeit aktualisieren oder ein Anschreiben hochladen, indem Sie auf Ihr Kandidatenprofil zugreifen.***Condé Nast ist ein Arbeitgeber, der Chancengleichheit fördert. Wir bewerten qualifizierte Bewerber ohne Rücksicht auf Rasse, Hautfarbe, Religion, Geschlecht, sexuelle Orientierung, Geschlechtsidentität, nationale Herkunft, Behinderung, Veteranenstatus, Alter, Familienstand und andere gesetzlich geschützte Eigenschaften.***Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. Headquartered in New York and London, the company produces award-winning journalism, content and entertainment for every platform today and operates in 32 markets worldwide including China, France, Germany, India, Italy, Japan, Mexico, Spain, the U.K. and U.S., and Taiwan.At Condé Nast we value diversity of background, views and cultures. We celebrate people for their personal qualities, their skills and contributions. And we recognize the power our brands have to influence and shape culture, catalyze action and help make our world a better place for all.For more information, please visit condenast.com and follow @CondeNast and @CondeNastCareer for Twitter and @condenastcareers for Instagram.#J-18808-Ljbffr