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 Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com.
Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com.
Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit 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 of 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 and we make reasonable accommodations for qualified individuals with disabilities.
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!
