Senior Machine Learning Scientist Wayfair

9.0 - 13.0 years

0 Lacs

karnataka

On-site

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

Posted 5 days ago

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Lead Data Scientist (Reinforcement Learning / Personalization & Recommendation) Zupee

4.0 - 8.0 years

0 Lacs

haryana

On-site

You will be joining Zupee, the largest online gaming company in India with a dominant presence in the Casual & Boardgame segment. At Zupee, we are dedicated to creating skill-based games that bring joy to people's lives, entertain them, and provide opportunities to earn while playing. In our pursuit over the past three years, Zupee has been committed to enhancing people's learning abilities, skills, and cognitive aptitude through scientifically crafted gaming experiences. Our games offer a refreshing break from the daily stressors and aim to bring happiness into the lives of our players. As a Lead Data Scientist at Zupee, you will play a pivotal role in driving innovation in AI ML-based algorithms and personalized offer experiences. Your responsibilities will revolve around designing and implementing advanced machine learning models, particularly focusing on reinforcement learning techniques such as Contextual Bandits, Q-learning, SARSA, and more. By utilizing your expertise in classical ML and statistical methods, you will be instrumental in creating solutions that optimize pricing strategies, enhance customer value, and generate tangible business outcomes. To excel in this role, you should have a minimum of 6 years of experience in machine learning and at least 4 years in reinforcement learning, personalization, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. Proficiency in classical ML techniques, including Personalization, Recommendation, Pricing, using algorithms like XGBoost, Deep Learning, and hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization is essential. Moreover, you should be adept at handling tabular data, proficient in Python and SQL, and have a strong grasp of ML frameworks like scikit-learn, TensorFlow, and PyTorch. Your key responsibilities will encompass developing cutting-edge ML models for dynamic pricing and personalized recommendations, applying RL techniques to solve pricing and optimization challenges, building AI-driven pricing agents, and collaborating closely with cross-functional teams to align solutions with strategic objectives. Additionally, you will be involved in designing and analyzing controlled experiments to validate the effectiveness of your models. Join Zupee as a Lead Data Scientist and be part of a dynamic team that is poised to make a significant impact in the gaming industry by leveraging AI and ML technologies to drive business growth and enhance user experiences.,

Posted 1 week ago

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