Staff Data Scientist I

InMobi Advertisingis a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150 countries and turns real-time context into business outcomes delivering results grounded in privacy-first principles. Trusted by 30000 brands and leading publishers InMobi is where intelligence creativity and accountability converge. By combining lock screens apps TVs and the open web with AI and machine learning we deliver receptive attention precise personalization and measurable impact.

Through Glance AIwe are shaping AI Commerce reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology Glance AI transforms every screen into a gateway for instant personal and joyful discovery. Spanning diverse categories such as fashion beauty travel accessories home décor pets and beyond Glance AI delivers deeply personalized shopping rich first-party data and unparalleled consumer access it harnesses InMobis global scale insights and targeting capabilities to create high impact performance driven shopping journeys for brands worldwide.

Recognized as a Great Place to Work and by MIT Technology Review Fast Companys Top 10 Innovators and more InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank Kleiner Perkins and Sherpalo Ventures InMobi has offices across San Mateo New York London Singapore Tokyo Seoul Jakarta Bengaluru and beyond.

AtInMobi Advertising youll have the opportunity to shape how billions of users connect with content commerce and brands worldwide. To learn more visit

Overview of the role:

We are looking for a Staff Applied Scientist I to join our algorithmic and research science team. Youll work on mathematically rigorous research-driven problems at production scale while also shaping the direction of key initiatives and mentoring other scientists. This role sits at the intersection of theory and application designing algorithms that combine elegant modeling with measurable business impact. Specifically our scientists tackle challenges across traffic shaping fraud detection ad quality pricing strategies and auction theory along with their practical applications. We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions.

As the heart of the InMobi Exchange our team optimizes the companys core business functions and creates the strategic moat that sets us apart in the market. As a Staff Scientist you will not just use modelsyou will formulate them evaluate their assumptions tailor them to our problem domain and bring them to life in productionwhile providing thought leadership to the broader team. Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality.

If you thrive on solving complex high-impact problems and want to see your ideas shape the future of a global exchange this is the place where your work will truly make a difference.

The impact youll make:

• Formulate analyze and implement algorithms that power real-time auctions dynamic pricing bid shaping pacing and traffic allocation across a massive-scale ad marketplace.

• Design and experiment with methods in online learning reinforcement learning multi-armed bandits forecasting game theory and Bayesian modelingin non-stationary adversarial environments.

• Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours not weeks).

• Provide technical leadership by reviewing scientific approaches mentoring junior scientists and guiding the team toward robust methodologies.

• Contribute to the scientific community by publishing high-quality research conducting internal seminars and staying abreast of advances in machine learning algorithms and applied statistics.

• Evaluate the long-term dynamics of deployed algorithms incorporating feedback exploitation-exploration trade-offs and incentives within multi-agent systems.

• Identify new areas for innovation by translating business challenges into research questions and proposing novel high-impact methodologies.

• Translate mathematical ideas into practical high-performance algorithms that operate at scale in production environments.

• Explore and close the loop between model predictions and real-world outcomes refining algorithms based on system behavior.

The experience we need:

• Ph.D. (preferred) or Masters degree in Computer Science Statistics Mathematics Operations Research Physics or a related quantitative discipline.

• 710 years of experience working on algorithmic or applied research problems including significant production deployment experience.

• Deep grounding in one or more of:

  • Statistical learning theory mathematical optimization discrete algorithms probability theory and information theory

  • Causal inference decision theory game theory auction theory

  • Online learning bandits RL Bayesian methods

• Strong publication record (e.g. NeurIPS ICML AISTATS KDD UAI WSDM EC SODA COLT) is a strong pluseven if not recent.

• Proficient in scientific computing with Python including packages such as NumPy SciPy PyTorch or TensorFlow.

• Comfortable working with big data platforms like Apache Spark distributed computing and large-scale datasets.

• A researchers mindset: questions first implementation later. You are thoughtful about assumptions and rigorous about validation.

• End-to-end ownership: you can go from idea to production and thrive in applied settings.

• Prior experience in ad tech marketplaces or dynamic pricing is helpful but not required.

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 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 employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

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