Data Scientist Iii

**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.

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:
Roles & Responsibilities
- Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions.
- Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses, and identify KPIs for analysis.
- Gather, preprocess, and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data.
- Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems.
- Develop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challenges.
- Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling.
- Create and present complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations.
- Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industry
- Mentor and provide guidance to junior data scientists, and actively participate in knowledge sharing and team development initiatives.

Skills and competencies:

- Expertise in data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of findings
- Expertise in programming languages such as Python or R for data manipulation, analysis, and modeling
- Strong understanding of experimental design, hypothesis testing and A/B testing methodologies
- Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges.
- Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders.
- Expertise in cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.

Experience
- We welcome a master's or Ph.D. in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
- Proven experience (typically 5+ years) in a data science role, preferably within the biopharma or pharmaceutical industry
- Strong background in statistical analysis, machine learning and predictive modelling techniques
- Experience in handling and analyzing large-scale structured and unstructured data sets using SQL, NoSQL, or similar technologies.
- Demonstrated ability to develop and implement predictive models and machine learning algorithms.
- Experience working with healthcare data, clinical trials, or related domains is highly desirable.
- Solid understanding of the biopharma industry, including regulatory requirements, clinical trial design, and healthcare data sources.

GBOHYD #LI-Hybrid

**Uniquely Interesting Work, Life-changing Careers**

**On-site Protocol**
Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

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.