Bristol Myerss Quibb
Roles & Responsibilities:
- Assist in the analysis and interpretation of structured and unstructured data to support business decisions and operational improvements.
- Collaborate with team members and stakeholders to understand business requirements and contribute to the design, develop and maintenance of basic data pipelines, models, and dashboards.
- Support the development and enhancement of data infrastructure and analytical tools/product development under guidance from senior data scientists and LT teams.
- Prepare and present clear, concise reports and visualizations to communicate findings to technical and non-technical audiences.
- Follow technical best practices in coding, documentation, and version control to ensure reproducibility and scalability of analytics solutions.
- Participate in Agile development cycles, contributing to design documentation, testing, and iterative improvements.
Skills and Competencies
- Proficiency in Python, SQL, and python UI libraries like Dash/Streamlit.
- Familiarity with data analytics and machine learning libraries (e.g., pandas, NumPy, Scikit-learn, TensorFlow).
- Experience with data visualization tools and frameworks (e.g., Matplotlib, Tableau, Power BI).
- Basic understanding of cloud platforms (e.g., Google Cloud Platform) and developer tools (e.g., Git, Docker).
- Ability to communicate technical concepts clearly and effectively to team members and stakeholders.
- Willingness to learn new technologies and adapt to evolving project requirements.
- Strong problem-solving skills and attention to detail.
Experience
- Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related analytical discipline.
- Internship or project experience in software engineering, data science, or analytics (e.g., AI-powered chatbot development, predictive modeling, data pipeline automation).
- Exposure to real-world data challenges through academic projects, internships, or hackathons.
- Experience working with large datasets and applying data preprocessing, feature extraction, and model training techniques.
- Participation in open-source contributions is a plus.
Good to Have
- Experience with frameworks such as React, Node.js, Flask, FastAPI, or LangChain.
- Familiarity with MLOps concepts and tools (e.g., MLflow).
- Exposure to cloud-based data solutions and scalable backend design.
- Knowledge of digital analytics platforms and version control systems (e.g., GitHub).
- Experience with GenAI frameworks like OpenAI, Claude, etc.
- Strong interest in continuous learning and professional development.
To apply for this job please visit bristolmyerssquibb.wd5.myworkdayjobs.com.