Sr. Staff Data Scientist, DSP

Key Skills

Aartificial intelligence, Android, AWS, Azure, Data science techniques, Database, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), iOS platform, Large data sets, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, SPARK Programming

Job Description

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 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, 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.

Requirements:

• 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

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. InMobi is a trusted and transparent technology partner for marketers, content creators and businesses of all kinds. 

Incorporated in Singapore, InMobi maintains a large presence in San 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, visit inmobi.com.   

Our Purpose 

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

We believe that our innovations at the intersection of artificial intelligence, commerce, and the creator economy will revolutionize the way consumers use their mobile devices. Our mission is to power our customers’ growth with innovative content and commerce experiences that help them activate 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 Activation for the open content, media and marketing ecosystem
• New Content and Commerce experiences for 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.

In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock aids us to treat our employer company as our own and base our decisions on such a company’s best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution.

A quick snapshot of our benefits:

• Competitive salary and RSU grant (where applicable)
• High quality medical, dental, and vision insurance (including company-matched HSA)
• 401(k) company match
• Generous combination of vacation time, sick days, special occasion time, and company-wide holidays
• Substantial maternity and paternity leave benefits and compassionate work environment
• Flexible working hours to suit everyone
• Wellness stipend for a healthier you!
• Free lunch provided in our offices daily
• Pet friendly work environment and robust pet insurance policy - because we love our animals!
• LinkedIn Learning on demand for personal and professional development
• Employee Assistance Program (EAP)
• InMobi is an equal opportunity employer

InMobi is a place where everyone can grow. 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 work.