Data Scientist III

The job overview for the position of Data Scientist III, IDI (Identity, Data Infrastructure and Intelligence) at InMobi is as follows: This role offers an opportunity to work in a fast-paced and innovative environment, where data scientists play a crucial role in optimizing tech operations and driving real business value. The successful candidate will be part of a highly capable and ambitious team, working with cutting-edge technologies and tools to build, experiment, and refine models that have an immediate impact on the company and its products. The role requires a strong foundation in mathematics, proficiency in data science languages and tools, and the ability to think critically and problem-solve. A background in the Ad Tech industry and experience in applying algorithms and techniques from Machine Learning, Statistics, and other domains is essential.

• Build, experiment, refine, and achieve real impact from models
• Deploy models at scale and speed
• Collaborate with engineering colleagues to enable model deployment
• Investigate and learn about the world from data
• Ask interesting and provocative questions
• Put real models into production that drive real business value
• Process big data and utilize cloud computing
• Apply algorithms and techniques from Machine Learning, Statistics, Time Series, or other domains to solve real-world problems
• Understand the practical issues of using algorithms on large datasets
• Collaborate with a diverse team of engineers, mathematicians, computer scientists, physicists, economists, and social scientists
• Have a strong aptitude for mathematics
• Competent in data science languages and tools such as Python or Apache Spark
• Bachelor's degree in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science
• 7+ years of experience in the Ad Tech industry working in Data Science teams

• Aptitude with mathematics and competent ability with data science languages and tools (such as Python or Apache Spark)
• Passion for investigating and learning from data, asking interesting and provocative questions, and putting real models into production
• Basics of big data processing and cloud computing
• Open to diverse academic backgrounds, including engineers, mathematicians, computer scientists, physicists, economists, and social scientists
• Bachelor's degree in a quantitative field (such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science)
• 7+ years of experience in the Ad Tech industry working in Data Science teams, applying algorithms and techniques from Machine Learning, Statistics, Time Series, or other domains to solve real-world problems on large datasets
• Comfortable with software engineering practices and working in a collaborative environment

• Opportunity to have an immediate impact on the company and products
• Mission-critical work for optimizing tech operations
• Daily meals, gym, and yoga classes
• Cutting-edge training and tools
• Cocktails at drink cart Thursdays
• Fun at work on Funky Fridays
• Option to bring kids and pets to work
• Fast model-learning playground
• Immediate bottom-line impact from successful models
• Opportunity to work with a diverse team of professionals
• Thought leadership opportunities through writing blogs and speaking at conferences
• Opportunity to experiment with multiple algorithms
• Creative model design to fit specific problems
• Opportunities to innovate and demonstrate thought leadership