Data Scientist Ii

**About Us**

InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere.

**Position Summary**:
We are looking for motivated and knowledgeable ML Scientists who can roll up their sleeves and have direct impact on our company metrics. We see the success of our models and experiments astonishingly quickly - our learning loop is not measured in weeks or days. It is hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate - you see the value of your work incredibly fast.

**Who Are You?**
- Our scientists are expected to come in with deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.
- In addition to possessing a mathematical aptitude (Statistics, Probability Theory, Algorithms, Foundations of Machine Learning), 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.

**Required**:

- Experience - 5 - 7 years
- Ph.D. or 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.
- Ad tech related industry experience working in Data Science teams is a plus. 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.
- Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.

**What will you do?**
- You will be responsible for one or more data science efforts for one of the biggest SSPs in the world. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.
- This will also include designing, development, testing of product experiments.
- You are expected to be a hands-on part of the role where you will also actively analyze data, design and develop models, and problem-solve solutions with the rest of the team.
- You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.
- You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.
- You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor tec