2 Uplift Modeling Jobs

Company Description: We are surrounded by the world&aposs leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world&aposs most valuable restaurant company on the internet, superfast. The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build &aposThe World&aposs Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, UAE & UK with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System. While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core. Job Description We are seeking a Principal Data Scientist / Manager to lead a high-impact team of 3 to 4 Data Scientists within the Data Science & Analytics (DSA) team. This is an individual contributor and managerial role combined, that blends with the deep technical expertise of Data Science, GenAi, ML along with people management and business acumen. Youll be at the forefront of designing and scaling ML systems that power critical decisions across Rebels fast-evolving business landscape. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team owns At Rebel, the Data Science & Analytics team builds and maintains all ML models, Data Science intelligence, reports automation and real-time dashboards used across the organization. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns over time. What Youll Own Lead and mentor a team of data scientists to develop and scale high-impact ML solutions. Partner with cross-functional teams including Product, Engineering, Operations, Marketing, and CX to translate business problems into structured data science problems. Define and drive the data science roadmap, ensuring alignment with organizational strategy and quarterly OKRs. Oversee end-to-end ML pipelines data ingestion, modeling, validation, deployment, monitoring, retraining, and automating performance measurement. Advocate for ML best practices, model governance, and scalable experimentation frameworks. Act as the DS point-of-contact for senior leadership, presenting insights and model outcomes in a business-friendly narrative. Ideal Background & Skills 3+ years of industry experience, with at least 1+ years leading teams or mentoring junior data scientists. Proven expertise in designing and deploying ML models for real-world use cases such as regression, classification, demand forecasting, clustering, NLP, recommender systems, or optimization. Hands-on experience with Python, SQL, ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and cloud ML platforms like Amazon SageMaker. Strong foundations in statistics, probability, and experimentation (e.g., A/B testing, uplift modeling). Ability to balance technical depth with cross-functional communication simplifying ML to influence decision-making across business teams. Experience managing the lifecycle of ML models in production, including monitoring, retraining, and performance debugging. Nice to Have Hands-on experience with Large Language Models (LLMs) and familiarity with prompt engineering. Experience integrating DS outputs into production-grade systems or dashboards (via APIs, dashboards, BI tools). Understanding of MLOps Familiarity with start-up or fast-paced environments and agile ways of working. A love of food (Yes, we really do have food tasting sessions at the office!) Learn more about Rebel here: [HIDDEN TEXT] Show more Show less

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.,