Kasmo Global
Job Title: Statistical Data Scientist
Location: Edison, NJ
Duration :
Long term
Experience Required: 5-8 years
Job Summary: 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
Duration :
Long term
Experience Required: 5-8 years
Job Summary: 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