Staff Data Scientist I
Staff Data Scientist I
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Job Description
About Us
InMobi is theleading provider of content monetization andmarketingtechnologiesthat fuel growthfor industries around the world. Ourend-to-end advertising software platform connected contentandcommerce experiences activate audiences driverealconnections and diversify revenue for businesses everywhere.
InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand engage and acquire consumers effectively through data-driven media solutions. Learn more at .
Glance is a consumer technology company that operates disruptive digital platforms including Glance Roposo and Nostra. Glances smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at .
Born in India InMobimaintains a large presence in Bangalore and San Mateo CA and has operations in New YorkSingapore Delhi Mumbai BeijingShanghai Jakarta Manila Kuala Lumpur Sydney MelbourneSeoul Tokyo London and Dubai. To learn more visit .
Our Story
Building a new company in the recession of 2007 was no ordinary task. Yet with passion and foresight we charted our course helping to transform the way consumers engage with their the last 17 years we have built a global Advertising Platform that powers our customers growth by helping them to engage with their audiences and drive real has also built a second unicorn Glance which is advancing digital consumption and creating a new wave of disruption. Present on 400M devices across India SEA Japan and the US Glance is one of the largest content platforms globally with 200M daily active users.
Position Summary:
We look for talented Data Scientists who can roll up their sleeves and have direct impact on our company metrics. The performance of our models and experiments are seen astonishingly quickly the learning loop is not measured in weeks or days but 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 both 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 possess 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:
- Masters in a quantitative field such as Computer Science Electrical Engineering Statistics Mathematics Operations Research or Economics Analytics Data Science. Or Bachelors from a reputed College with additional experience.
- 7-10 years of work experience in a quantitative field with model building and validation experience.
- Ad tech related industry experience is a plus. There you would have applied algorithms and techniques 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. including visualization tools.
- 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 areas.
What will you do
- You will be responsible for leading one or more data science efforts for inMobi DSP a gold mine that is being explored for riches. 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 analyse data design and develop models and solve problems with the rest of the team.
- Additionally stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product Engineering Data Infrastructure and Business teams.
- Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobis work.
- 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 techniques to fit the problem at hand. We have an environment that makes this possible at speed.
- Importantly you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models and feedback mechanisms in a dynamic environment such as ours.
- We are a company that innovates and demonstrates our thought leadership to the world whether in products research papers or conferences there are many opportunities for you to shine.
What does InMobi do
InMobi is one of the largest Independent Adtech player globally with a record of accomplishment for innovation customer centricity and privacy first approach we have been recognized on both 2018 and 2019 CNBC disruptor 50 list and as one of the Fast Companys 2018s most innovative company.
InMobi is an equal opportunity employer
InMobi is a place where everyone can grow. So however you identify and whatever background you bring with you we invite you to apply if this sounds like a role that would make you excited to get to work every day. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws. This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
The InMobi Culture
At InMobi culture isnt a buzzword; its an ethos woven by every InMobian reflecting our diverse backgrounds and experiences.
We thrive on challenges and seize every opportunity for growth. Our core values of thinking big being passionate showing accountability and taking ownership with freedom guide us in every decision we make.
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.
InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities.
The InMobi Culture
At InMobi culture isnt a buzzword; its an ethos woven by every InMobian reflecting our diverse backgrounds and experiences.
We thrive on challenges and seize every opportunity for growth. Our core values of thinking big being passionate showing accountability and taking ownership with freedom guide us in every decision we make.
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.
InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities.
Required Experience:
Staff IC
Employment Type
Full-Time
