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Position: Machine Learning Scientist Location: Onsite(Mumbai) Employment Type: Full-Time Experience Required: 2 to 5 years About Nurdd Nurdd is an advanced marketing attribution platform purpose-built for the influencer economy. We help brands move beyond vanity metrics to truly understand which creators, content, and channels drive conversions. Our attribution engine leverages machine learning and real-time data to power smarter campaign decisions and direct brand-creator collaboration. As we scale our AI infrastructure, we are looking for a Machine Learning Scientist to develop models that enhance performance visibility, detect patterns in creator behavior, and drive predictive insights for marketing outcomes.Role Overview As a Machine Learning Scientist at Nurdd, you will play a key role in building the intelligence that powers our platform. You'll work closely with cross-functional teams to design and deploy ML models that enhance product functionality, drive decision-making, and deliver measurable impact. This role requires a strong foundation in applied machine learning and the ability to translate complex data into actionable insights. Responsibilities Develop machine learning models for creator scoring, performance attribution, and predictive analytics Work with data from multiple sources (social platforms, internal app events, web analytics, etc.) Collaborate with engineering teams to productionize ML pipelines and integrate outputs via APIs Build experimentation frameworks for A/B testing and model validation Continuously evaluate and improve model performance, scalability, and reliability Stay current with research in machine learning, marketing science, and attribution modeling Requirements 2 to 5 years of experience in applied machine learning or data science roles Strong foundation in supervised/unsupervised learning, classification, regression, and clustering Proficiency in Python and libraries such as scikit-learn, TensorFlow, or PyTorch Experience working with large-scale, noisy, or unstructured datasets Familiarity with ML Ops workflows and deployment on cloud platforms (AWS, GCP, etc.) Understanding of experimentation, model explainability, and performance metrics Excellent communication skills for cross-functional collaboration Preferred Skills Experience with recommendation systems or ranking models Familiarity with influencer marketing, ad tech, or consumer behavior modeling Knowledge of time-series analysis and causal inference techniques Exposure to Spark, Airflow, or similar data pipeline tools Why Work With Us Build AI models that power real-time decisions for brands and creators Solve meaningful problems at the intersection of marketing, data, and human behavior Work in a lean, fast-paced environment with high technical ownership Be part of a mission-driven product shaping the future of performance marketing