Data Scientist

As an experienced Data Scientist with 6 to 10 years of experience, you will be responsible for leveraging Generative AI, Python, and LLM / NLP to drive the success of the projects at hand. Your key responsibilities will include: - Conducting Exploratory Data Analysis (EDA) to uncover insights and patterns within datasets - Working with Cloud Platforms such as AWS, Azure, and GCP to deploy and scale data solutions - Implementing Explainable AI techniques to enhance the interpretability of machine learning models - Utilizing your 4+ years of experience in Data Science to develop and analyze Machine Learning, Deep Learning, and Statistical Data models - Holding an MSc or PhD degree in CS or a related quantitative field, showcasing your strong educational background - Demonstrating proficiency in Python and utilizing data science libraries like sklearn, pandas, numpy, and pytorch/tensorflow - Applying your knowledge of GenAI concepts (RAG, LLM) and Agentical development in building conversational to autonomous agents - Exhibiting a proven ability to deliver data solutions efficiently and effectively, meeting tight deadlines - Having familiarity with Azure, Docker, and development methodologies, providing you with an advantage in your role - Showcasing expertise in production and DevOPS practices to ensure seamless operations Additionally, you should possess: - A Bachelor's degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering - 1-2 years of experience in quantitative analytics or data modeling, demonstrating your analytical skills - Deep understanding of predictive modeling, machine-learning, clustering, and classification techniques and algorithms - Fluency in programming languages like Python, C, C++, Java, and SQL - Familiarity with Big Data frameworks and visualization tools including Cassandra, Hadoop, Spark, and Tableau You will play a pivotal role in driving innovation and success in the projects you undertake, leveraging your expertise in data science and advanced technologies to deliver impactful solutions. As an experienced Data Scientist with 6 to 10 years of experience, you will be responsible for leveraging Generative AI, Python, and LLM / NLP to drive the success of the projects at hand. Your key responsibilities will include: - Conducting Exploratory Data Analysis (EDA) to uncover insights and patterns within datasets - Working with Cloud Platforms such as AWS, Azure, and GCP to deploy and scale data solutions - Implementing Explainable AI techniques to enhance the interpretability of machine learning models - Utilizing your 4+ years of experience in Data Science to develop and analyze Machine Learning, Deep Learning, and Statistical Data models - Holding an MSc or PhD degree in CS or a related quantitative field, showcasing your strong educational background - Demonstrating proficiency in Python and utilizing data science libraries like sklearn, pandas, numpy, and pytorch/tensorflow - Applying your knowledge of GenAI concepts (RAG, LLM) and Agentical development in building conversational to autonomous agents - Exhibiting a proven ability to deliver data solutions efficiently and effectively, meeting tight deadlines - Having familiarity with Azure, Docker, and development methodologies, providing you with an advantage in your role - Showcasing expertise in production and DevOPS practices to ensure seamless operations Additionally, you should possess: - A Bachelor's degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering - 1-2 years of experience in quantitative analytics or data modeling, demonstrating your analytical skills - Deep understanding of predictive modeling, machine-learning, clustering, and classification techniques and algorithms - Fluency in programming languages like Python, C, C++, Java, and SQL - Familiarity with Big Data frameworks and visualization tools including Cassandra, Hadoop, Spark, and Tableau You will play a pivotal role in driving innovation and success in the projects you undertake, leveraging your expertise in data science and advanced technologies to deliver impactful solutions.