Lead Data Scientist

Job Description

As a Lead Data Scientist with a focus on Generative Artificial Intelligence (GenAI) at our company, you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. Your role will involve leading efforts to leverage GenAI techniques to solve complex challenges and transition the next generation of IT services into an interactive conversational experience backed by real-time streaming data analysis.Key Responsibilities:- Massive Scale: You will be responsible for building a state-of-the-art conversational servicebot designed to scale seamlessly across 1 million Monthly Active Users (MAU).- Next-Gen User Experience: Your role will involve serving real-time insights to customers through a cutting-edge conversational UI/UX that processes millions of streaming data points.- Developing AI/ML solutions: You will work on developing production-grade AI/ML solutions to solve complex Text2Action problems and analyze time-series data to detect anomalous behavior instantly.- Collaboration: You will partner closely with product and business teams to deeply understand challenges and opportunities within the GenAI landscape, ensuring data science initiatives align with core organizational objectives.- Intelligent Systems: Your responsibilities will include conceptualizing, experimenting, and designing intelligent systems powered by GenAI, applying your deep expertise in machine learning, statistics, and advanced mathematics.- ML Pipelines: You will take full ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and continuous feedback integration.- ML/AI Architecture: Collaborate with ML Engineers to design highly scalable systems and model architectures that enable low-latency real-time ML/AI services.- Big Data Processing: You will build and develop efficient systems capable of ingesting and processing vast volumes of streaming data.- Metric Definition: Define and monitor key performance metrics that accurately reflect the tangible value delivered to end-users through our GenAI solutions.Qualifications Required:- A Bachelors degree or higher in Computer Science, Statistics, Mathematics, or a highly related quantitative field.- Experience: A minimum of 7 years of relevant industry work experience.- Production Deployment: A proven track record of successfully deploying ML projects into production systems backed by substantial individual contributions.- Mathematical Foundations: Profound understanding of the math underpinning machine learning algorithms including probability, statistics, linear algebra, calculus, and optimization.- GenAI & NLP: Hands-on experience with Natural Language Processing tasks utilizing prompt engineering, Large Language Models (LLMs), transformers, and knowledge graphs.- Big Data & Distributed Computing: Proficiency in large-scale computing and Big Data technologies, specifically distributed programming frameworks like Hadoop and Spark.- Data Engineering: Strong proficiency with database systems and schema design encompassing both SQL and NoSQL databases.- Natural Language Processing (NLP)- Statistical ML techniquesIf you are a forward-thinking data scientist with a passion for pushing the boundaries of GenAI and envision yourself driving the transformation of IT services through interactive conversational experiences, we encourage you to apply and join our dynamic team!(Note: The companys commitment to providing equal opportunity and promoting workplace diversity was mentioned in the job description.) As a Lead Data Scientist with a focus on Generative Artificial Intelligence (GenAI) at our company, you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. Your role will involve leading efforts to leverage GenAI techniques to solve complex challenges and transition the next generation of IT services into an interactive conversational experience backed by real-time streaming data analysis.Key Responsibilities:- Massive Scale: You will be responsible for building a state-of-the-art conversational servicebot designed to scale seamlessly across 1 million Monthly Active Users (MAU).- Next-Gen User Experience: Your role will involve serving real-time insights to customers through a cutting-edge conversational UI/UX that processes millions of streaming data points.- Developing AI/ML solutions: You will work on developing production-grade AI/ML solutions to solve complex Text2Action problems and analyze time-series data to detect anomalous behavior instantly.- Collaboration: You will partner closely with product and business teams to deeply understand challenges and opportunities within the GenAI landscape, ensuring data science initiatives align with core organizational objectives.- Intelligent Systems: Your responsibilities will include conceptualizing, experimenting, and des

Keyskills :
Machine LearningStatisticsMathematicsTransformersHadoopSparkDatabase SystemsSQLNoSQLProgrammingGenerative Artificial Intelligence GenAIText2ActionNatural Language Processing NLPLarge Language Models LLMsKnowledge GraphsBig Data Technologies