VetJobs
Senior Manager, Analytical AI - Engineering - Princeton, NJ
VetJobs, Princeton, New Jersey, us, 08543
Overview
Senior Manager of Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products. Key Responsibilities and Major Duties
Member of a hands-on team of data engineers and machine learning engineers. Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions. Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit and R Shiny. Apply NLP techniques in support of solving business problems. Minimum Education and Qualifications
BA/BS Required (quantitative Area Of Study Preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience and relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau and MS Office Suite. Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members. Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Compensation and Benefits
Princeton, NJ, US: $152,150 - $184,370 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience. City: Princeton State: New Jersey Affiliate Sponsor: Bristol Myers Squibb BMS
#J-18808-Ljbffr
Senior Manager of Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products. Key Responsibilities and Major Duties
Member of a hands-on team of data engineers and machine learning engineers. Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions. Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit and R Shiny. Apply NLP techniques in support of solving business problems. Minimum Education and Qualifications
BA/BS Required (quantitative Area Of Study Preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience and relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau and MS Office Suite. Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members. Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Compensation and Benefits
Princeton, NJ, US: $152,150 - $184,370 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience. City: Princeton State: New Jersey Affiliate Sponsor: Bristol Myers Squibb BMS
#J-18808-Ljbffr