Data Scientist • Staff

Who you are

You have a strong background in data science with a focus on machine learning and AI — you've successfully implemented models that drive business outcomes and enhance user experiences. Your experience spans various domains, and you understand how to leverage data to create impactful solutions. You are adept at working with large datasets and have a keen eye for detail, ensuring data quality and integrity in your analyses.

You possess excellent communication skills, allowing you to convey complex technical concepts to non-technical stakeholders — you thrive in collaborative environments and enjoy working with cross-functional teams to achieve common goals. Your problem-solving skills are top-notch, and you approach challenges with a data-driven mindset, always seeking innovative solutions.

What you'll do

As a Staff Data Scientist at InMobi, you will be responsible for developing and implementing machine learning models that enhance the advertising platform's capabilities. You will analyze vast amounts of data to derive insights that inform marketing strategies and improve user engagement. Collaborating closely with engineering and product teams, you will ensure that your models are effectively integrated into the platform, driving measurable results for clients.

You will also mentor junior data scientists, sharing your expertise and fostering a culture of continuous learning within the team. Your role will involve conducting experiments to validate model performance and iterating on solutions based on feedback and results. You will play a key role in shaping the future of AI Commerce at InMobi, contributing to innovative projects that redefine e-commerce experiences.

What we offer

InMobi provides 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, ensuring that all employees feel valued and empowered to contribute their best work. Join us in making a global impact through technology and data-driven solutions.