Senior Data Scientist (Data Analytics)

Job Description

You will be responsible for optimizing ad display on native Android surfaces, by designing and implementing data-driven strategies to maximize ad effectiveness, user engagement, and revenue. Your collaborative role will involve working closely with product managers, engineers, and cross-functional teams to drive innovation, improve ad relevance, and ensure a seamless user experience.**Key Responsibilities:**- Develop and refine data-driven ad optimization strategies tailored to native Android environments, focusing on user engagement, personalization, and revenue uplift.- Design, implement, and improve predictive models for ad targeting, recommendation, and bidding strategies using cutting-edge machine learning and statistical techniques.- Lead the design and analysis of experiments to test ad placements, formats, and targeting methods. Use data from A/B tests and multivariate testing to validate hypotheses and inform decisions.- Analyze user behavior patterns to understand engagement and dropout points, leveraging insights to optimize ad positioning, timing, and relevance.- Partner with product managers, engineers, designers, and marketing teams to align ad strategies with business objectives and user experience goals. Communicate insights and recommendations effectively to both technical and non-technical stakeholders.- Ensure the scalability of ad models across a wide range of Android devices and varying network conditions. Work closely with engineering teams to deploy and monitor models in a production environment.- Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team environment. Lead by example in developing high-quality, scalable solutions for complex ad optimization challenges.**Qualifications Required:**- PhD (preferred) or Masters Degree (required) in Computer Science, Data Science, Statistics, Machine Learning, or a related field.- 6 years of experience in data science or machine learning, with a strong focus on ad technology or user experience optimization.- Demonstrable experience in working with ad serving, ad tech stacks, and optimization techniques, especially within Android or mobile ecosystems.- Expertise in machine learning frameworks (TensorFlow, PyTorch, or similar).- Advanced proficiency in Python, or Kotlin.- Experience with data processing and pipeline tools (e.g., Spark, Hadoop, Airflow).- Deep understanding of A/B testing, causal inference, and other experimentation methods.- Familiarity with ad tech, programmatic advertising, and user behavior metrics, particularly in the context of mobile and Android platforms.- Excellent analytical, problem-solving, and communication skills. Proven ability to articulate complex data science concepts to stakeholders across different domains. You will be responsible for optimizing ad display on native Android surfaces, by designing and implementing data-driven strategies to maximize ad effectiveness, user engagement, and revenue. Your collaborative role will involve working closely with product managers, engineers, and cross-functional teams to drive innovation, improve ad relevance, and ensure a seamless user experience.**Key Responsibilities:**- Develop and refine data-driven ad optimization strategies tailored to native Android environments, focusing on user engagement, personalization, and revenue uplift.- Design, implement, and improve predictive models for ad targeting, recommendation, and bidding strategies using cutting-edge machine learning and statistical techniques.- Lead the design and analysis of experiments to test ad placements, formats, and targeting methods. Use data from A/B tests and multivariate testing to validate hypotheses and inform decisions.- Analyze user behavior patterns to understand engagement and dropout points, leveraging insights to optimize ad positioning, timing, and relevance.- Partner with product managers, engineers, designers, and marketing teams to align ad strategies with business objectives and user experience goals. Communicate insights and recommendations effectively to both technical and non-technical stakeholders.- Ensure the scalability of ad models across a wide range of Android devices and varying network conditions. Work closely with engineering teams to deploy and monitor models in a production environment.- Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team environment. Lead by example in developing high-quality, scalable solutions for complex ad optimization challenges.**Qualifications Required:**- PhD (preferred) or Masters Degree (required) in Computer Science, Data Science, Statistics, Machine Learning, or a related field.- 6 years of experience in data science or machine learning, with a strong focus on ad technology or user experience optimization.- Demonstrable experience in working with ad serving, ad tech stacks, and optimization techniques, especial

Keyskills :
Data ScienceMachine LearningStatisticsPythonAd TechReinforcement LearningAndroid SDKKotlinAB TestingProgrammatic AdvertisingUser Behavior Metrics