DTICI_Lead Data Science engineer_T7 || 2765

# Senior Data Science Engineer ## Company Overview *Company details not specified.* ## Job Summary We are looking for a **Senior Data Science Engineer** for our Advanced Analytics and Big Data Team. The primary purpose of this role is to generate insights for data-driven decision-making in the finance and financial services domain. ## Responsibilities - Utilize Artificial Intelligence (AI) and Machine Learning (ML) techniques to build innovative cognitive AI applications and chatbots. - Conduct full-stack development and product management, focusing on AI conversation voice chatbots, natural language processing (NLP), and deep learning solutions. - Apply statistical data modeling and big data tools to refine and optimize data searching, indexing, and processing methods to acquire meaningful insights. - Source, integrate, and manage data to ensure high-quality, clean, and actionable information for analysis. - Lead cross-functional collaboration with stakeholders, managing projects from inception to execution, ensuring delivery meets objectives, deadlines, and budgets. - Implement advanced AI models and algorithms through design, development, and deployment using cutting-edge technologies. ## Qualifications - **Educational Qualification**: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or a related field. Graduates from top-rated universities preferred. - **Technical Skills**: - Strong proficiency in Python and Pyspark. - Experience with machine learning algorithms, including tree-based methods, regression techniques, and deep learning (ANN, CNN, RNN). - Knowledge of big data platforms including Azure, Spark, and Databricks. - Familiarity with data engineering tools, such as MS SQL, SQL, and Oracle. - **Soft Skills**: - Excellent communication skills to convey complex insights to both technical and non-technical audiences. - Project management skills with the ability to handle multiple projects simultaneously. - Proven problem-solving skills to translate business needs into data science problems. ## Preferred Skills - Experience with generative AI models, conversational chatbots, and cloud deployment. - Understanding of statistical concepts and methodologies, such as hypothesis testing and correlation analysis. - Knowledge of technologies including TensorFlow, Keras, Numpy, and Pytorch. - Familiarity with Snowflake and handling large datasets from diverse sources. ## Experience - 5-10 years of relevant experience focusing on applied AI, ML, and deep learning. - Practical experience in end-to-end model development, deployment, and performance monitoring. ## Environment *Typical work setting details not specified, though the role involves collaboration within an international and diverse team.* ## Salary *Estimated salary range not specified.* ## Growth Opportunities *Opportunities for career advancement within the company not specified.* ## Benefits *List of offered benefits not specified.*