InMobi Advertising is 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 30,000+ 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 AI, we 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 experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s 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 Company’s 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.
At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com
About the Role:
We are looking for a senior-level Data Scientist to lead the design and development of cutting-edge machine learning solutions that power InMobi’s Accelerate platform. You’ll be solving highly impactful problems around budget optimization, creative scoring, campaign recommendations, and cross-channel attribution in a fast-paced, AI-first environment.
Responsibilities:
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Lead the design and deployment of ML models across campaign recommendation, budget allocation, and creative optimization.
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Develop robust pipelines for data preprocessing, feature engineering, model training, validation, and deployment.
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Build and fine-tune predictive models using supervised/unsupervised learning, deep learning, and reinforcement learning.
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Partner with product managers and engineers to translate business goals into ML problem statements.
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Own model performance monitoring, explainability, retraining schedules, and feedback loops for continuous learning.
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Collaborate with MLOps and platform teams for scalable deployment (batch + real-time).
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Contribute to experimentation frameworks, model versioning, and reproducibility.
Qualifications:
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5–8 years of experience in Data Science/Machine Learning roles, preferably in AdTech, MarTech, or B2B SaaS.
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Strong foundations in statistics, optimization, time-series forecasting, and ML algorithms.
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Proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) and SQL.
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Hands-on experience with ML lifecycle tools (MLflow, Airflow, SageMaker, Vertex AI, etc.).
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Experience working with ad performance data, user behavior modeling, attribution models, or recommender systems.
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Bonus: Experience with causal inference, LTV modeling, or generative AI for text/image.
The InMobi Culture
At InMobi, culture isn’t a buzzword; it's 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.
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!