Job Description

About Us
Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world using trillions of contextual bidding signals coupled with proprietary behavioral models. Our audience engagement platform includes a full-service agency team and a Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices, driving performance for publishers and brands. The company is headquartered in San Francisco, CA, with offices in the United States, EMEA, and APAC.
Role Overview
We are seeking a motivated and detail-oriented Senior Manager of Applied Data Science to join our team. In this role, you will lead a team responsible for designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with decision science, engineering, and analytics teams to drive impactful data science projects and contribute to innovative solutions. Join us in pushing the boundaries of AI and mobile advertising in a collaborative environment that fosters creativity and growth. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement.
Role & Responsibilities

• Build, grow, and mentor a high-performing data science team, focusing on both technical development and long-term career growth.
• Lead the development of scalable machine learning pipelines for programmatic mobile advertising.
• Establish best practices for model deployment, monitoring, and performance evaluation.
• Own and lead process improvements across the ML lifecycle.
• Foster collaboration with teams in Bangalore and San Francisco including decision science and bidder engineering to launch models into production and run experiments.
• Drive timely delivery of projects and ensure rapid resolution of model-related issues in production environments.
• Design and maintain data pipelines to enable efficient processing of large-scale datasets for training and evaluation.
• Work cross-functionally with product managers, engineers, and business stakeholders to integrate models into production systems.
• Stay current with advancements in machine learning and apply cutting-edge techniques to improve platform capabilities.
• Drive innovation by exploring and adopting new methodologies, tools, and technologies.

• 7+ years of hands-on experience in data science, with a strong foundation in machine learning, statistics, and modeling.
• 3+ years of experience managing teams of data scientists or ML engineers.
• Proficiency in Python and SQL; experience with Spark is a plus.
• Expertise in ML libraries such as Scikit-Learn, LightGBM, TensorFlow, and PyTorch.
• Deep understanding of probability, statistical analysis, and experimental design.
• Demonstrated experience in deploying ML models into production and ensuring ongoing model observability.
• Excellent communication skills and the ability to explain complex ideas to both technical and non-technical audiences.
• Familiarity with RTB, auction theory, and high-throughput low-latency environments is a plus.