Data Scientist III
Data Scientist III
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Job Description
About Us
InMobi is theleading provider of content monetization andmarketingtechnologiesthat fuel growthfor industries around the world. Ourend-to-end advertising software platform connected contentandcommerce experiences activate audiences driverealconnections 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 .
Glance is a consumer technology company that operates disruptive digital platforms including Glance Roposo and Nostra. Glances 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 .
Born in India InMobimaintains a large presence in Bangalore and San Mateo CA and has operations in New YorkSingapore Delhi Mumbai BeijingShanghai Jakarta Manila Kuala Lumpur Sydney MelbourneSeoul Tokyo London and Dubai. To learn more visit .
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 InMobis Accelerate platform. Youll be solving highly impactful problems around budget optimization creative scoring campaign recommendations and cross-channel attribution in a fast-paced AI-first environment.
Responsibilities:
Lead the design and deployment of ML models across campaign recommendation budget allocation and creative optimization.
Develop robust pipelines for data preprocessing feature engineering model training validation and deployment.
Build and fine-tune predictive models using supervised/unsupervised learning deep learning and reinforcement learning.
Partner with product managers and engineers to translate business goals into ML problem statements.
Own model performance monitoring explainability retraining schedules and feedback loops for continuous learning.
Collaborate with MLOps and platform teams for scalable deployment (batch real-time).
Contribute to experimentation frameworks model versioning and reproducibility.
Qualifications:
58 years of experience in Data Science/Machine Learning roles preferably in AdTech MarTech or B2B SaaS.
Strong foundations in statistics optimization time-series forecasting and ML algorithms.
Proficiency in Python (NumPy Pandas Scikit-learn PyTorch TensorFlow) and SQL.
Hands-on experience with ML lifecycle tools (MLflow Airflow SageMaker Vertex AI etc.).
Experience working with ad performance data user behavior modeling attribution models or recommender systems.
Bonus: Experience with causal inference LTV modeling or generative AI for text/image.
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 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.
Employment Type
Full Time
