Data Scientist III
Data Scientist III
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Job Description
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 dcor 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
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 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.
Employment Type
Full Time
