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Home›Jobs›InMobi›Staff Applied Scientist I
InMobi

About InMobi

Connecting brands and consumers through mobile insights

🏢 Tech, Media, Marketing and Advertising👥 1001+ employees📅 Founded 2007📍 Central Water Catchment, Singapore💰 $224.3m⭐ 3.7
B2BMarketingBusiness IntelligenceSaaSMobileAdvertising

Key Highlights

  • Headquartered in Central Water Catchment, Singapore
  • Raised $224.3 million in Series C funding
  • Offers InMobi Pulse for consumer insights and InMobi Exchange for ad purchasing
  • Focuses on mobile marketing in India and Southeast Asia

InMobi is a leading data-driven mobile marketing platform headquartered in Central Water Catchment, Singapore. With over 1,001 employees, InMobi has raised $224.3 million in funding and offers innovative products like InMobi Pulse for actionable insights and InMobi Exchange for mobile-first audience...

🎁 Benefits

InMobi offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance....

🌟 Culture

InMobi fosters a data-centric culture that prioritizes actionable insights and analytics, enabling teams to make informed decisions in a rapidly evolv...

🌐 Website💼 LinkedIn𝕏 TwitterAll 63 jobs →
InMobi

Staff Applied Scientist I

InMobi • Bangalore

Posted 1d agoStaffApplied scientist📍 Bangalore
Apply Now →

Skills & Technologies

Machine learningAI

Overview

InMobi is seeking a Staff Applied Scientist I to leverage AI and machine learning in their advertising platform. You'll work on innovative solutions that enhance user experiences and drive business outcomes. This role requires expertise in AI and machine learning.

Job Description

Who you are

You have a strong background in applied science, particularly in AI and machine learning, with a proven track record of developing innovative solutions that drive business outcomes. Your experience includes working with large datasets and applying advanced algorithms to extract meaningful insights. You are comfortable collaborating with cross-functional teams to integrate AI technologies into existing systems and processes.

You possess excellent problem-solving skills and a deep understanding of statistical methods and machine learning techniques. You are passionate about leveraging technology to create impactful solutions and are eager to stay updated with the latest advancements in the field. You thrive in a collaborative environment and enjoy sharing knowledge with your peers.

Desirable

Experience with real-time data processing and analytics is a plus. Familiarity with advertising technologies and consumer behavior can enhance your contributions to the team. You are also open to exploring new tools and frameworks that can improve the efficiency and effectiveness of your work.

What you'll do

As a Staff Applied Scientist I at InMobi, you will be at the forefront of developing AI-driven solutions that enhance the advertising experience for users. You will work closely with product managers and engineers to design and implement machine learning models that personalize user interactions and optimize ad placements. Your role will involve analyzing user data to identify trends and patterns that inform product development and marketing strategies.

You will lead projects that require innovative thinking and technical expertise, ensuring that the solutions you develop are scalable and effective. You will also mentor junior team members, providing guidance and support as they grow in their roles. Your contributions will directly impact the success of InMobi's advertising platform, helping to shape the future of AI commerce.

What we offer

InMobi offers a dynamic work environment where creativity and innovation are encouraged. You will have access to continuous learning opportunities through our InMobi Live Your Potential program, which supports your career progression. We are committed to fostering a diverse and inclusive workplace where all employees feel valued and empowered to contribute their best work. Join us and be part of a team that is shaping the future of e-commerce through AI and machine learning.

Interested in this role?

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