Lead Python Engineer -Architect
Citi
CloudPython
Job Level
Mid-LevelSenior
Tech Stack
CloudPythonSQL
About the role
- As a Data Scientist, you’ll be both strategic and hands-on, applying advanced analytics to solve high-impact business problems.
- Typical responsibilities include:
- Conduct exploratory data analysis to identify patterns and trends in large datasets
- Design, model, and deploy datasets for continuous and reusable analysis
- Design and execute statistical experiments, A/B tests, and hypothesis testing
- Build predictive models using regression analysis, time series forecasting, and statistical techniques, and other predictive techniques
- Create comprehensive reports and visualizations to communicate findings to stakeholders
- Partner with business teams to translate questions into analytical frameworks
- Ensure data quality through validation, cleaning, and preprocessing
- Provide recommendations based on statistical evidence and data analysis
- Monitor and analyze key business metrics and identify significant changes or trends
Requirements
- 3–6 years in data science, analytics, or related roles in SaaS/AI, startups, venture, or consulting (early-stage/high-growth preferred)
- Statistical expertise: Strong background in regression, categorical data analysis, experimental design, and survey development
- Machine learning & AI: Practical experience applying ML and/or LLMs for pattern recognition, predictive modeling, and business decision-making
- Business acumen: Proven track record supporting Growth, Revenue, Sales, and product teams with high-quality data-driven insights that influence outcomes
- Strong communicator: Ability to translate complex data into clear recommendations for stakeholders at all levels
- Hands-on builder: Comfortable moving quickly in a startup environment, balancing quick wins with long-term scalable solutions
