Bristol Myers Squibb is hiring for an FRESHER entry level Data Scientist role in India

Position:

Data Scientist I

Company:

Bristol Myers Squibb

Location:

Hyderabad, Telangana, India

Job type:

Full-time

Job mode:

Onsite / Site-based

Job requisition id:

R1599073

Years of experience:

0 to 3 years

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Company description

• Bristol Myers Squibb is a globally recognized biopharmaceutical company dedicated to advancing medical science and improving patient outcomes through research, innovation, and advanced therapeutic development. The organization focuses on discovering, developing, and delivering medicines that address serious diseases and complex health conditions affecting millions of people across the world.

• The company operates with a clear mission centered on transforming patients’ lives through scientific progress. By combining deep scientific knowledge with advanced technologies, Bristol Myers Squibb strives to create treatment options that bring hope to individuals dealing with life threatening conditions. Employees across departments work collaboratively to support research, clinical development, manufacturing, and data driven decision making.

• The organization promotes a culture where innovation and scientific thinking are encouraged. Teams work on projects that range from optimizing manufacturing processes to supporting breakthrough research in emerging areas of medicine. Employees are empowered to contribute ideas and develop solutions that can impact the healthcare ecosystem in meaningful ways.

• Bristol Myers Squibb provides an environment where professionals can grow their careers while contributing to meaningful work. The company supports employee development through learning opportunities, exposure to global projects, and collaboration with highly skilled professionals from different disciplines.

• The company also places strong emphasis on employee wellbeing. It offers a wide range of benefits, support programs, and resources that help individuals maintain balance between professional responsibilities and personal goals.

• Inclusion and respect are central to the company culture. Bristol Myers Squibb actively promotes diversity, encourages participation in global clinical initiatives, and creates a workplace where employees from different backgrounds can contribute their skills and perspectives.

• Through continuous investment in research, technology, and people, Bristol Myers Squibb aims to remain at the forefront of medical innovation while building a workplace where employees can achieve long term professional growth.

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Profile overview

• The Data Scientist I role is an entry level position within the analytics and data science function of the organization. The role focuses on using data driven approaches to support business decisions, operational improvements, and strategic initiatives within the company.

• Individuals in this position contribute to projects that involve analyzing large volumes of data, developing machine learning models, and building analytical solutions that help teams extract useful insights. The role is designed to help early career professionals build strong practical skills in data science while working on real business challenges.

• The position involves collaboration with cross functional teams including engineers, analysts, business stakeholders, and senior data scientists. Through these interactions, the candidate learns how to translate business questions into analytical problems and develop solutions that address them effectively.

• Data Scientist I professionals participate in building and maintaining data pipelines that support analytics workflows. These pipelines help collect, clean, and organize data from multiple sources so that it can be used in analytical models or dashboards.

• The role also involves creating visual reports and presentations that explain analytical findings to both technical and non technical audiences. Clear communication is an essential part of the position because insights derived from data must be presented in a way that decision makers can easily understand.

• Candidates working in this role follow established technical standards and coding practices to ensure that their work is reliable, well documented, and scalable. Maintaining code quality and ensuring reproducibility of results are important aspects of the job.

• The position encourages curiosity and continuous learning. Data science is an evolving field, and professionals in this role are expected to stay updated with new tools, frameworks, and analytical approaches that can improve outcomes.

• Overall, the role provides a strong foundation for professionals who want to build expertise in machine learning, analytics engineering, and AI powered solutions while contributing to projects that have real world impact.

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Qualifications

• Candidates applying for the role are expected to have a bachelor’s degree or master’s degree in a technical or analytical discipline such as computer science, information technology, engineering, mathematics, statistics, or related fields.

• The role requires familiarity with programming languages commonly used in data science workflows. Python is particularly important because it is widely used for data analysis, machine learning, and building data driven applications. Knowledge of SQL is also expected for querying and managing structured datasets.

• Applicants should be comfortable working with widely used data science libraries such as pandas, NumPy, and Scikit learn. These libraries are used for data manipulation, statistical analysis, and machine learning model development.

• Basic exposure to machine learning concepts is required. Candidates should understand fundamental techniques used for predictive modeling and pattern recognition. These can include regression methods, clustering algorithms, classification models, and other common approaches used in data science.

• Familiarity with data visualization tools is also important. Tools such as Matplotlib, Tableau, or Power BI help present analytical results through charts, graphs, and dashboards that make complex information easier to interpret.

• Knowledge of cloud platforms is considered beneficial. Understanding services offered by platforms such as Google Cloud Platform can help candidates work with scalable infrastructure used for storing and processing large datasets.

• Experience with developer tools such as Git for version control and Docker for containerization can be advantageous. These tools support collaboration, code management, and deployment of analytical applications.

• Candidates should demonstrate strong analytical thinking and problem solving ability. Working with data often involves dealing with incomplete or messy datasets, so the ability to clean, transform, and analyze information effectively is important.

• Communication skills are also essential. Data scientists frequently need to explain technical findings to stakeholders who may not have a technical background.

• Candidates who show curiosity, willingness to learn new technologies, and ability to adapt to changing project needs will be well suited for this role.

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Additional info

• Individuals working in this role contribute to various analytics initiatives across the organization. These initiatives may involve analyzing structured and unstructured data, building predictive models, and developing tools that help teams make data driven decisions.

• Entry level data scientists often assist senior team members in developing analytical frameworks, testing models, and improving existing data pipelines. Through these tasks they gain exposure to practical challenges encountered in real world analytics environments.

• The role includes participation in collaborative development processes such as Agile workflows. Team members contribute to planning discussions, documentation, testing activities, and iterative improvements of analytical products.

• The company encourages professionals to explore modern technologies that support data science workflows. These may include frameworks used for building web based analytical tools, backend systems, or AI driven applications.

• Knowledge of frameworks such as Flask or FastAPI can help developers build APIs that serve machine learning models. Exposure to technologies such as React or Node.js may also support development of user interfaces for data applications.

• Candidates who have worked with MLOps tools such as MLflow may find it easier to manage machine learning experiments and track model performance over time.

• Familiarity with emerging AI frameworks and generative AI platforms can also be helpful. These technologies are increasingly used for building intelligent systems that automate tasks, generate insights, and enhance decision making.

• Participation in academic projects, internships, hackathons, or open source contributions can demonstrate practical experience. Such activities show that the candidate has applied theoretical knowledge to real world problems.

• Bristol Myers Squibb encourages individuals to apply even if they do not meet every requirement exactly. The company values potential, curiosity, and willingness to grow.

• Employees in the organization work in an environment where collaboration, accountability, and integrity are highly valued. Teams strive to create solutions that benefit patients and support the company’s mission.

• The company also provides support for individuals with disabilities and ensures equal employment opportunities. Applicants can request workplace accommodations during the recruitment process if needed.

• Data privacy and security are important aspects of the hiring process. The company emphasizes that it never asks candidates for payments or sensitive financial information during recruitment.

• Candidates interested in building a career at a global healthcare organization can find meaningful opportunities in roles like Data Scientist I, where data driven insights contribute to improving medical outcomes and operational efficiency.

Please click here to apply.