Data Analytics Developer, Python
Welocalize
full-time
Posted on:
Location Type: Hybrid
Location: Noida • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
NumpyPandasPython
About the role
- Create, refine, and optimize prompts for language model applications.
- Automate prompt workflows in Python for scalable production use.
- Write modular, maintainable Python code leveraging standard libraries.
- Use pandas and NumPy to clean, transform, and analyze datasets.
- Conduct exploratory data analysis (EDA) to uncover trends and support model improvements.
- Implement reproducible data workflows and maintain dataset documentation.
- Build test suites for both code and prompt-based workflows.
- Apply data-driven validation techniques to measure accuracy and reliability.
- Partner with data scientists and ML engineers to support analytics and evaluation tasks.
- Share findings, document workflows, and contribute to best practices.
Requirements
- Proficiency in Python (3.x) with strong knowledge of standard libraries.
- Hands-on experience with pandas and NumPy for data analytics.
- Familiarity with data wrangling, preprocessing, and transformation techniques.
- Experience in prompt engineering and integrating prompts into applications.
- Strong understanding of testing frameworks (pytest, unittest).
- Version control experience (Git/GitHub).
- Familiarity with project management tools (Jira).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonpandasNumPydata wranglingdata preprocessingdata transformationprompt engineeringtesting frameworksversion controldata analysis