Data Scientist IV

The InMobi Story  

 

We like big challenges. Building a new company in 2007 was no ordinary task. As the recession hit, the iPhone was born and launched a revolution. Mobile advertising wasn’t yet a thing, other than SMS, and venture capital funding was hard to come by for four guys in India.  

 

Yet with passion, foresight, and conviction, InMobi charted its own course - helping to transform the way consumers engage with their phones and create today's booming app economy wherein consumers now spend 4.2 hours per day.   

 

After fourteen years of innovation, our end-to-end advertising software platform, connected content and commerce experiences have formed a powerful engine for growth that activates audiences, drives real connections, and diversifies revenue for companies around the world.   

 

Our global organization of InMobians are excited to continue discovering and developing impactful technologies that will continue to transform people, businesses, and society.  

 

 

Title: Senior Data Scientist IV - Adtech

Location: San Mateo

 

Position Summary:

There are 8 billion interactions a day by people with our recommendations. That’s 5 million a minute! 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.

 

The Experience You'll Need: 

• The core foundation we look for is an aptitude with mathematics, and a competent ability with data science languages and tools, such as Python or Apache Spark. 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.
• Basics of big data processing and cloud computing will be critical to succeed in this environment.
• 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:
• Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science.
• 10+ years of industry experience working in Data Science teams. You wouldhave applied algorithms and techniques from Machine     Learning, Statistics,  Time Series 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. Experience in Apache Spark 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.
• Experience in applying Data Science in digital advertising is a big plus
• Possess a high degree of curiosity and ability to rapidly learn new subjects and
systems.

 

The Impact You'll Make:

• You will be responsible for leading the data science efforts for one of the biggest in-app programmatic exchange 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 will need to guide the team in practical experiments, product design, model development and model evaluation. It is vital to be agile and iterate fast across experiment to deliver go-to-market ready products.
• You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and problem-solve solutions with the rest of the team.
• Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders