Data Scientist I Bristol Myerss Quibb

InterviewGIG; Pune District; On-site; INR 600,000 - 900,000; Full time

Job summary

A data analytics firm in Pune is seeking a data analyst to interpret structured and unstructured data to support business decisions. The candidate should have proficiency in Python and SQL, experience with data visualization tools, and the ability to communicate findings effectively. A Bachelor’s or Master’s degree in a relevant field is required, along with experience in software engineering, data science, or analytics. This role offers opportunities for skill development in a collaborative environment.

Qualifications

• Strong understanding of data analytics and machine learning libraries.
• Experience with data preprocessing, feature extraction, and model training techniques.
• Participation in open-source contributions is a plus.

Responsibilities

• Assist in the analysis and interpretation of structured and unstructured data.
• Collaborate with team members to understand business requirements.
• Prepare and present reports and visualizations to communicate findings.

Skills

Proficiency in Python

Proficiency in SQL

Experience with data visualization tools

Strong problem-solving skills

Communication of technical concepts

Education

Bachelor’s or master’s degree in Computer Science

Tools

Tableau

Power BI

Git

Docker

Job description

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.