Data Scientist II, BIA GPS India Operations (Analytical Engineering)
Hyderabad
Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.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 rich in diversity. 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.
BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.
Summary:
The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The role provides hands-on technical expertise to develop, deploy, and maintain descriptive and AI/ML pipelines, solutions, and products in furtherance of the overall GPS digital strategy. This individual will also be responsible for providing ongoing technical support with business operations.
Roles & Responsibilities:
- Work with all BIA GPS Teams (US, EU, India) to develop, implement and enforce best practices in building scalable data pipelines and collaborate with team to deliver on pipeline projects.
- Work cross functionally with all BIA GPS teams and business stakeholders to rapidly pilot and deploy a wide variety of descriptive and ML/AI solutions.
- Hands-on design, deployment, and maintenance of advanced, automated data pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.
- Responsible for building upon existing ELT pipelines to optimize them for analytical purposes.
- Responsible for troubleshooting breaks in data pipelines and models.
- Develop a close working relationship with BIA data science teams to facilitate and implement best practices relating to data engineering, analytical engineering, machine learning engineering and MLOps.
- Support with migration and transition activities related to BIA GPS data and analytics and solve complex architecture problems involving the right teams to discuss solution. Collaborate with functional team members for testing upgrades and implementations.
- Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit, Aera etc.
- Align BIA GPS tech stack with enterprise tech stack and ensure alignment with IT compliance standards.
- Work hours that provide sufficient overlap with standard east coast US working hours.
Skills and competencies
- Bachelor's or Master's degree in an analytical, engineering, operations research or scientific discipline.
- Hands on analytical engineering / data engineering experience 3- years.
- Experience with designing & deploying machine learning models in test & production environments.
- Expert level in Python/R, SQL, dbt, and Tableau.
- Expert with Github.
- Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc.
- Experience with cloud-based environments (AWS, Azure, Domino etc.).
- Experience with Database Management (DBM).
- Experience with MLOps.
- Possess technical understanding of analytics tools, dev-ops environment in AWS & Multiverse, and SAP applications (SCM, ECC, BW, ATTP).
- Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena).
- 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.
- Experience in the biopharma industry a plus.
#GBOHYD #LI-Hybrid
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Athena AWS Azure Confluence Data pipelines dbt ELT Engineering Excel GitHub Jira Machine Learning ML models MLOps Oracle Pipelines PostgreSQL Privacy Python PyTorch R Redshift Research Scikit-learn SQL Streamlit Tableau TensorFlow Testing
Perks/benefits: Career development Team events
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