Senior Data Scientist

Job Description

As a highly skilled Senior Data Scientist with deep expertise in Generative AI, your role at Blend involves designing, developing, and deploying innovative AI solutions that drive measurable business impact. You will work as a key member of the Data Science & AI team, spearheading the development of advanced analytics and GenAI-driven solutions across various business functions such as:- Product Assortment and Pricing Optimization- Supply Chain Optimization- Demand Forecasting- Propensity, Loyalty & Customer Segmentation Models- Recommendation Engines & Personalization- Marketing Mix Modeling (MMM) & Media Investment OptimizationYour responsibilities will include:- Architecting, training, and deploying generative AI models, including large language models (LLMs) and transformer-based systems- Developing robust predictive and optimization models using structured and unstructured data sources- Implementing and deploying machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment- Partnering with cross-functional teams to translate business requirements into scalable AI solutions- Driving model lifecycle management from research and experimentation through deployment and monitoring- Maintaining high standards for model governance, explainability, performance, and ethical AI- Staying at the forefront of GenAI advancements and proactively evaluating new tools, methods, and frameworksQualifications required for this role include:- 46 years of hands-on experience in Data Science or Machine Learning roles- Expertise in GenAI, LLMs, NLP, and deep learning architectures- Strong foundation in Generative AI, with experience in LLM fine-tuning, embeddings, or workflow orchestration- Experience with GenAI frameworks and libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, TensorFlow)- Strong command of Python, ML frameworks (TensorFlow, PyTorch)- Proven experience building and deploying models into production environments- Exceptional analytical thinking, storytelling, and stakeholder communication skills- Degree (Bachelors / Masters / PhD preferred) in Computer Science, Data Science, AI, Statistics, or related fieldAdditionally, if you are passionate about leveraging AI and GenAI to drive business transformation and shaping the future of clients, Blend offers:- Impactful Technical Work: Be at the forefront of AI innovation, designing and implementing cutting-edge technical solutions for leading companies.- Growth Opportunities: Thrive in a company committed to growth, providing a platform for your technical and professional development.- Collaborative Culture: Work alongside a team of world-class experts in data science, AI, and technology, fostering an environment of learning and mutual support.- Bold Vision: Join a company that delivers bold visions for the future of AI.If this opportunity aligns with your vision and passion for AI, we encourage you to apply to be part of Blends innovative team. As a highly skilled Senior Data Scientist with deep expertise in Generative AI, your role at Blend involves designing, developing, and deploying innovative AI solutions that drive measurable business impact. You will work as a key member of the Data Science & AI team, spearheading the development of advanced analytics and GenAI-driven solutions across various business functions such as:- Product Assortment and Pricing Optimization- Supply Chain Optimization- Demand Forecasting- Propensity, Loyalty & Customer Segmentation Models- Recommendation Engines & Personalization- Marketing Mix Modeling (MMM) & Media Investment OptimizationYour responsibilities will include:- Architecting, training, and deploying generative AI models, including large language models (LLMs) and transformer-based systems- Developing robust predictive and optimization models using structured and unstructured data sources- Implementing and deploying machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment- Partnering with cross-functional teams to translate business requirements into scalable AI solutions- Driving model lifecycle management from research and experimentation through deployment and monitoring- Maintaining high standards for model governance, explainability, performance, and ethical AI- Staying at the forefront of GenAI advancements and proactively evaluating new tools, methods, and frameworksQualifications required for this role include:- 46 years of hands-on experience in Data Science or Machine Learning roles- Expertise in GenAI, LLMs, NLP, and deep learning architectures- Strong foundation in Generative AI, with experience in LLM fine-tuning, embeddings, or workflow orchestration- Experience with GenAI frameworks and libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, TensorFlow)- Strong command of Python, ML frameworks (TensorFlow, PyTorch)- Proven experien

Keyskills :
Data ScienceMachine LearningNLPDeep LearningPythonPerformance monitoringGenAILLMsTensorFlowPyTorchGenAI frameworksLangChainHugging Face TransformersAWS SageMakerStructuredunstructured data sourcesModel governanceExplainability