Data Science Ad Monetization Lead
2 weeks ago
Glance, an InMobi Group company, is a consumer technology firm operating digital platforms including Glance, Roposo, and Nostra. We are revolutionizing the way people experience their smartphones by providing relevant content at their fingertips.
Our 'smart lock screen' has been installed on over 450 million devices worldwide.
We collaborate with academic and commercial experts in the field to drive innovation and growth.
Data Science OpportunitiesOur data science engineers work on diverse projects involving data analysis, machine learning, and AI.
This includes developing recommendation systems, natural language processing (NLP) for sentiment analysis and text summarization, image processing for feature extraction, prediction tasks for conversion and engagement rates, and other data science areas.
Ad Monetization Team Lead Role OverviewYou will lead the Ad Monetization team at Glance, driving the overall vision and strategy for ad revenue growth.
This role is critical in advancing the company's AI-first aspirations and maximizing revenue growth.
The Ad Monetization team is responsible for all ad revenue – programmatic and direct – across Glance user experiences.
We seek a leader who can inspire a team to drive innovation and growth, leveraging knowledge of ad-tech and pricing strategies, as well as current AI and machine learning capabilities.
Key Responsibilities:- Define the overall vision for our data science applications, focused on up-levelling internal use of machine learning.
- Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments.
- Manage, develop, coach, and mentor a team of data science professionals.
- Partner with our business and product teams to help predict system behavior, establish metrics, identify bugs, and improve debugging skills.
- Ensure data quality and integrity within our products as well as our teams.
- Partner with our client-facing teams and customers to enhance products and develop client solutions applying critical thinking skills to remove extraneous inputs.
- Conceive, plan, and prioritize data projects.
- Lead data mining and collection procedures, especially focused on unstructured and siloed data sets.
- Experiment with new models and techniques.
- Drive the implementation of models into Production through various Engineering teams.
- Create a positive culture to maximize productivity and minimize attrition.
- PhD or Master's in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or Economics, Analytics, Data Science.
- Bachelor's degree with additional experience.
- 10+ years of ad tech-related industry experience working in DS/ML teams.
- Able to apply algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real-world problems.
- Understanding of practical issues of using these algorithms, especially on large datasets.
- Comfortable with software programming and statistical platforms such as TensorFlow, PyTorch, scikit-learn, etc.
- Familiarity with one or more distributed training technologies such as Apache Spark, RAPIDS, Dask, etc., along with MLOps stack such as Kubeflow, MLflow, or their cloud counterparts.
- Excellent technical and business communication skills, with the ability to present technical ideas in a simple manner to business counterparts.
- Possess a high degree of curiosity and ability to rapidly learn new subjects.
Estimated Salary: $200,000 - $280,000 per year
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