Data Scientist Senior Role (Time series)

You are a highly skilled and experienced Senior Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML), seeking to join our team. You are known for your innovative, analytical, and collaborative approach, with a proven track record in end-to-end AI/ML project delivery, encompassing data processing, modeling, and model deployment. With a minimum of 5-7 years of experience in data science, focusing on AI/ML applications, you have a deep understanding of a wide range of ML algorithms, including regression, classification, clustering, decision trees, neural networks, and deep learning architectures (e.g., CNNs, RNNs, GANs). Your strong programming skills in Python, R, or Scala, coupled with proficiency in ML libraries like TensorFlow, PyTorch, and Scikit-Learn, enable you to excel in this role. You are experienced in data wrangling, cleaning, and feature engineering, with familiarity in SQL and data processing frameworks such as Apache Spark. Your expertise extends to deploying models using tools like Docker, Kubernetes, and cloud services (AWS, GCP, or Azure), showcasing your comprehensive skill set. Your solid foundation in statistics, probability, and mathematical concepts used in AI/ML, along with proficiency in data visualization tools like Tableau, Power BI, or matplotlib, further enhances your capabilities. Additionally, familiarity with big data tools, natural language processing (NLP) techniques, time-series analysis, MLOps, and leadership experience are highly advantageous. Your problem-solving skills, combined with strong written and verbal communication abilities, enable you to convey technical insights clearly to diverse audiences. Your curiosity and adaptability drive you to stay updated with the latest advancements in AI and ML, allowing for quick learning and implementation of new technologies.,