We are seeking a highly skilled and experienced Statistical Data Scientist to join our team. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and optimization techniques, along with hands-on experience in deep learning and large language models (LLMs). This role involves direct interaction with business stakeholders and customer FTEs, requiring excellent communication and technical skills. Key Responsibilities: • Design, develop, and implement statistical models and machine learning solutions to solve complex business problems. • Apply deep learning techniques including LSTM, N-BEATS, CNN, and RNN for time series forecasting and other predictive tasks. • Utilize LLMs for natural language processing and generative AI applications. • Develop and optimize mathematical models using Linear Programming and Mixed Integer Programming. • Work with optimization tools such as OpenSolver and Gurobi to solve large-scale business problems. • Collaborate with business teams and customer FTEs to understand requirements and deliver impactful data-driven solutions. • Build and maintain scalable data pipelines and models using platforms like Databricks and Snowflake. • Participate in end-to-end modeling lifecycle including data exploration, feature engineering, model development, validation, and deployment. Required Skills & Qualifications: • 5–8 years of experience in data science, statistical modeling, and machine learning. • Proficiency in Python and relevant data science libraries. • Strong knowledge of deep learning architectures: LSTM, N-BEATS, CNN, RNN. • Experience with LLMs and their application in real-world scenarios. • Expertise in optimization techniques: Linear Programming, Mixed Integer Programming. • Hands-on experience with optimization tools: OpenSolver, Gurobi. • Proficient in Databricks and Snowflake for data engineering and model deployment. • Excellent communication skills and ability to engage with business stakeholders and customers. • Strong problem-solving skills and a solid understanding of technology. Preferred Qualifications: • Advanced degree (Master’s or PhD) in Statistics, Computer Science, Mathematics, or a related field. • Experience working in cross-functional teams and customer-facing roles. Skills Mandatory Skills : Data Scientist, Python, DataBricks, Snowflake