Senior Data Scientist - NLP/Generative AI

Job Description

Job Summary We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI and Natural Language Processing (NLP) to join our growing team. You will play a crucial role in developing and implementing cutting-edge AI/ML solutions, leveraging your expertise in generative models, NLP, and deep learning to solve complex business challenges. This role requires a deep understanding of advanced statistical and machine learning techniques, excellent communication skills, and the ability to collaborate effectively with product development and leadership teams. Experience in a startup environment is a plus. Key Responsibilities Data Acquisition & Automation : Identify relevant data sources and build automated data collection processes. Data Preprocessing : Preprocess structured and unstructured data to prepare it for model training and analysis. Model Development : Develop and innovate machine learning and deep learning algorithms, including generative AI models, NLP models, forecasting models, and network graphs. Model Building : Build predictive models, machine learning algorithms, and data pipelines for end-to-end solutions. Problem Solving : Propose data-driven solutions and strategies to address business challenges. Collaboration & Communication : Collaborate effectively with product development teams and communicate technical information clearly to senior leadership teams. Problem-Solving Sessions : Participate actively in problem-solving sessions, contributing your expertise and insights. Required Technical Skills Generative AI : Extensive background in generative AI algorithms and deep understanding of generative models. NLP : Deep understanding of NLP algorithms, techniques, and applications. Deep Learning : Strong knowledge of deep learning architectures and frameworks. Machine Learning : Solid foundation in machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Statistical Modeling : Strong mathematical and statistical skills, including algebra and statistical modeling. Programming Languages : Fluency in at least one data science/analytics programming language (Python, R, Julia). Python is highly preferred. Data Pipeline Development : Experience building data pipelines for end-to-end solutions. Preferred Skills Cloud Computing : Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Data Visualization : Experience with data visualization tools (i., Tableau, Power BI). Big Data Technologies : Knowledge of big data technologies (i., Spark, Hadoop). Required Experience & Qualifications Education : Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research, or equivalent experience). Experience 5-6years of advanced analytics experience, preferably in startups or marquee companies. Startup experience is a plus. Personal Attributes Strong problem-solving and analytical skills. Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly. Ability to work independently and as part of a team. Proactive, self-motivated, and results-oriented. Passion for AI/ML and its potential to solve real-world problems (ref:hirist.tech) Show more Show less