Data Scientist at Kpler enhancing Gas and Power teams to aggregate data for future forecasts. Collaborating with engineers and product teams for model deployment and performance enhancement.
About the role
- Senior Data Scientist providing data insights and solutions for Airwallex's growth. Leveraging AI and data to forecast and improve business efficiency with collaboration in a growing team.
Responsibilities
- Be the go-to data partner for the Head of AMER.
- Use causal inference methods to understand how macroeconomic events impact the business.
- Leverage AI to generate insights and improve business and team efficiency.
- Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.
- Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.
Requirements
- 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
- Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy
- Expertise in causal inference methods and forecasting
- Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
- Experience with data architecture technologies such as Airflow, Databricks, and dbt.
Benefits
- US-based employees are eligible to participate in medical, dental, and vision insurance
- 401(k) plan
- Short-term and long-term disability
- Basic life insurance
- Well-being benefits
- 20 paid days of vacation
- 12 paid days of company holidays in a calendar year
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