Sr. Data Scientist, DSP

The experience we need

• At a Staff level and above, our scientists are expected to come in with deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly iliarity with big data processing and cloud computing will be critical to succeed in this environment.
• In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.
• Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.
• We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists – a rock-star data scientist can come from any academic field.

• Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience. PhD a plus.
• 10+ years of ad tech related industry experience working in Data Science teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.
• Comfortable with software programming and statistical platforms such as R, Python etc.
• Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.
• Comfortable collaborating with cross-functional teams.
• Familiarity with challenges of the identity-less world, particularly for iOS and Android
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects and

InMobiis the leading provider of content, monetization, andmarketingtechnologiesthat fuel growthfor industries around the world.

Ourend-to-end advertising software platform, connectedcontentandcommerceexperiencesactivate audiences, driverealconnections, and diversify revenue for businesses everywhere.

InMobiisatrustedandtransparenttechnology partner for marketers, content creatorsandbusinesses of all kinds.

Incorporated in Singapore,InMobimaintains a large presence inSan Mateo, CA and Bangalore and has operations in New York,Delhi, Mumbai, Beijing,Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne,Seoul, Tokyo, London and Dubai. To learn more,

InMobicreates transformative mobile experiences and software platforms to positively impact people, businesses, and societies around the world.

We believe that our innovations atthe intersection of artificial intelligence, commerce,and thecreator economywill revolutionize the wayconsumers use their mobile devices.

Our mission isto power our customers’ growth with innovative content and commerce experiences that helpthemactivate their audiences and drive real connections. How do we do it?

• An End-to-End Content, Monetization, & Marketing Platform the fuels industry growth
• AI-Powered Audience Activationforthe open content, media and marketing ecosystem
• New Content and Commerceexperiencesfor a world of connected devices

The base salary (fixed) pay range for this role would range from $210,788 USD to $301,126 USD (min to max of base salary pay range). This salary range is in applicable for our offices located in California and New York*.

Our ranges may vary basis final location / region / or fully remote roles in accordance to the geographical differentiation in pay scales in the country.

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