Job
Description
As an Applied Scientist at Aarki, you will have the opportunity to contribute to cutting-edge data science projects and innovative solutions within our programmatic demand-side platform (DSP) in the mobile advertising industry. Your role will involve collaborating with senior research scientists and team members to design and implement machine learning models and data pipelines. **Role Overview:** You will be responsible for: - Developing and deploying machine learning models to address challenges in programmatic advertising such as user response prediction, bid landscape forecasting, and fraud detection. - Performing exploratory data analysis and utilizing statistical techniques to extract insights that support decision-making processes. - Creating and maintaining data pipelines to facilitate the efficient processing and integration of large-scale data for model training and evaluation. - Working closely with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Contributing to the establishment of best practices for model deployment, monitoring, and performance evaluation. - Staying updated on the latest advancements in machine learning and data science to apply relevant techniques in problem-solving and platform enhancement. - Exploring and adopting new methodologies and technologies to enhance the data science capabilities of our platform. **Qualifications Required:** To be considered for this position, you should have: - A minimum of six years of experience in data science with practical exposure to machine learning, statistical analysis, and data modeling. - A Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. A Master's degree would be beneficial. - Proficiency in programming languages such as Rust, C++, Java, and Scala, along with experience in large-scale data processing systems. - Knowledge of real-time bidding (RTB), auction theory, and working in high-throughput low-latency environments is advantageous. - Strong skills in machine learning techniques like regression, classification, and clustering, with experience in Python and libraries like Scikit-Learn, TensorFlow, and PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and hands-on experience with TensorFlow, PyTorch, and Scikit-Learn libraries. - A solid grasp of probability, statistics, and data analysis. - The ability to collaborate effectively in a team setting, with excellent communication skills to convey complex concepts to various stakeholders. Join Aarki in Bengaluru, India, and be part of a collaborative environment that fosters creativity and growth, pushing the boundaries of AI and mobile advertising. We offer a competitive salary, comprehensive benefits, and abundant opportunities for career progression.,
