Data Scientist

What you'll do

• Develop and optimize SQL queries to extract and manipulate datasets for business intelligence.
• Create Python scripts for data analysis, automation, and the development of machine learning models.
• Develop sales and operational forecasts using regression, time series, XGBoost, or random forest models.
• Use customer transaction data to develop personalized targeting strategies and monitor campaign performance.
• Review reports on private companies and macroeconomic conditions to identify risks and themes.
• Summarize key takeaways and implications for priority merchant categories and consumer spending.
• Prepare and deliver executive-level presentations summarizing insights and conclusions to senior leaders.
• Design and develop interactive Excel and PowerPoint reports with advanced functionalities for non-technical stakeholders.

What we're looking for

• Master's degree in Statistics, Mathematics, Information Science, Business Analytics, or a related field of study.
• 3 years of experience in the job offered or as a Data Scientist Associate, Data Analyst, or related occupation.
• 3 years of experience developing and optimizing SQL queries to extract and manipulate datasets for business intelligence.
• 3 years of experience creating Python scripts for data analysis, automation, and machine learning model development.
• 3 years of experience conducting research on transactions using regular expressions to query data in Snowflake and AWS Athena.
• 3 years of experience developing sales and operational forecasts using regression, time series, XGBoost, or random forest models.
• 3 years of experience using customer transaction data to develop personalized targeting strategies and monitor campaign performance.
• 3 years of experience using PitchPro+ in Microsoft PowerPoint and designing interactive Excel reports with advanced functionalities.