Associate Director, Analytical Engineering

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Employer: Bristol-Myers Squibb Company

Job Title: Associate Director, Analytical Engineering

Location: 3401 Princeton Pike, Lawrence Township, NJ 08648

Wage Range: $194,144.70 - $226,67.00
 

Bristol-Myers Squibb Company is hiring a(n) Associate Director, Analytical Engineering (in Lawrence Township, NJ).

Duties: Develop, deploy, and maintain pipelines for data science-related applications and machine learning solutions, ensuring reliability, scalability, and maintainability. Collaborate cross-functionally with data science teams, analytics and business stakeholders to facilitate and implement best practices relating to machine learning engineering, data engineering, and machine learning operations. Translate the complexity of pipelines, models, and solutions for various stakeholders. Lead the development and maintenance of cutting-edge tools and frameworks. Partner with the Director of Analytics Engineering to monitor the evolving data science and engineering landscape. Provide strategic view on novel capabilities that enhance the efficiency and effectiveness of the team in support of continuous business intelligence analytics evolution and business performance. Telecommuting permitted up to 2 days per week. Up to 10% domestic travel may be required based on business need.
 

Requirements: Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, or a related field of study, plus five (5) years of progressive, post-baccalaureate
experience as a Data Scientist or related occupation. Alternatively, the employer will accept a master’s degree or foreign equivalent in Computer Science, Information Technology, or a related field of study and three (3) years of related experience as a Data Scientist or related occupation.

 Must have three (3) year of experience in the following skills (which may be gained concurrently):
•            Designing machine learning models using Scikit-Learn, TensorFlow, and PyTorch;
•            Conducting Machine Learning Operations in cloud-based environments such as Amazon Web Services and Azure;
•            Git to version control code;
•            Applying data science and machine learning techniques using tools such as Python and SQL to develop solutions addressing business problems; and
•            Deploying data science-related applications utilizing frameworks including Dash or Streamlit.

Additionally, employees are eligible for an annual discretionary bonus, and benefits including Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BMS operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 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.

​

Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid nationa