Associate Director, Analytical Engineering
About The Position
Bristol Myers Squibb Company is hiring a(n) Associate Director, Analytical Engineering (in Princeton, NJ). This role contributes to the development, deployment, and maintenance of data science and machine learning pipelines, solutions, and products in support of commercialization strategies. The Associate Director will serve as a member of a hands-on team of data engineers and machine learning engineers, collaborating cross-functionally with analytics and business stakeholders to pilot and deploy advanced data science solutions. The position involves designing, implementing, and maintaining reliable, scalable, and maintainable pipelines for data science products and machine learning applications, establishing best practices for machine learning engineering, data engineering, and machine learning operations. Additionally, the role includes developing and optimizing tools and frameworks to improve the efficiency and effectiveness of data scientists, partnering with leadership to monitor emerging trends in data science and engineering technologies, and translating models, pipelines, and technical solutions into clear terms for diverse stakeholders. The role also requires building and maintaining data science-related applications using frameworks, applying natural language processing techniques and advanced analytics methods to address complex business problems, and contributing to the continuous evolution of the organization’s business intelligence and analytics capabilities. Telecommuting is permitted up to 3 days per week.
Requirements
- Employer will accept a Bachelor’s degree or foreign equivalent in Data Science, Statistics, Business Analytics, Project Management, or a related field, and five (5) years of progressive postbaccalaureate related work experience as a Data Scientist or related occupation.
- Alternatively, the employer will accept a master’s degree or foreign equivalent in Data Science, Statistics, Business Analytics, Project Management, or a related field, and three (3) of related work experience.
- Must have three (3) years of experience in the following skills (which may be gained concurrently):
- Working in a cloud-based environment including Amazon Web Services, Azure, or Google Cloud Platform;
- Designing and deploying Regression models and Classification models using Scikit-Learn, TensorFlow, or PyTorch;
- Programming and version control using Python, R, SQL, and GIT;
- Translating raw data into visuals using Tableau;
- Automating MLOps including ML pipelines using MLflow;
- Building and deploying data science applications in Dash or Streamlit.
Responsibilities
- Contribute to the development, deployment, and maintenance of data science and machine learning pipelines, solutions, and products in support of commercialization strategies.
- Serve as a member of a hands-on team of data engineers and machine learning engineers.
- Collaborate cross-functionally with analytics and business stakeholders to pilot and deploy advanced data science solutions.
- Design, implement, and maintain reliable, scalable, and maintainable pipelines for data science products and machine learning applications.
- Establish best practices for machine learning engineering, data engineering, and machine learning operations.
- Develop and optimize tools and frameworks that improve the efficiency and effectiveness of data scientists.
- Partner with leadership to monitor emerging trends in data science and engineering technologies to enhance organizational capabilities.
- Translate models, pipelines, and technical solutions into clear terms for diverse stakeholders.
- Build and maintain data science-related applications using frameworks.
- Apply natural language processing techniques and advanced analytics methods to address complex business problems and contribute to the continuous evolution of the organization’s business intelligence and analytics capabilities.
Benefits
- annual discretionary bonus
- healthcare
- leave benefits
- retirement benefits
- Medical, pharmacy, dental, and vision care.
- BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
- Paid Time Off
- flexible time off (unlimited, with manager approval, 11 paid national holidays)
- 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
- unlimited paid sick time
- up to 2 paid volunteer days per year
- summer hours flexibility
- leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
- an annual Global Shutdown between Christmas and New Years Day.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
