Data Scientist

Job Description:

• Use consumer data, statistical and financial concepts, and open source tools to uncover trends, stories and business insights.
• Dive deep into Offerpad’s internal and third-party data (SQL Server, Databricks, Power BI, Google Analytics, R) to solve complex, analytical problems.
• Have a deep understanding of Machine Learning models and help create performance reporting around those models.
• Partner with Finance/Marketing/Product teams to find opportunities and suggest data driven solutions.
• Craft statistical/ machine learning models to gain insights from data and communicate results to partners.
• Tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.
• Performing ad-hoc analysis using SQL/R and presenting results in a clear manner.
• Provide thought leadership across a variety of technical and non-technical audiences to ensure that all levels of the company make decisions with an analytical foundation.
• Identify, research, and analyze new data sources to improve model accuracy.
• Contributes to market share growth and profitability by recommending changes to products, pricing, risk management.
• Become a domain expert in real-estate and Offerpad products & services.

Required Experience:

• Bachelor’s degree with 5 years of work experience, involving quantitative data analysis and complex problem solving.
• Deep understanding of statistics (e.g. Hypothesis testing, Regression trees etc.)
• Have complete command of SQL, and either Python or R, along with some experience with visualization software like Power BI or libraries in R.
• Have extensive experience directly querying multi-terabyte-sized data sets (with Azure Data Warehouse) including clickstream data (like Google Analytics) and raw data from non-standard platforms.
• Have practice with terminology, and measurement issues related to experimentation, along with a history of applying advanced analytical approaches to derive insights from the data.
• Have a strong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation.
• Self-motivated to stay on top of new tools, technologies and concepts 
• Truth seeking, dispassionate in analysis of data, and able to follow the story and conclusion to where the evidence leads 
• Must be able to work on multiple projects concurrently, have a bias towards driving actions and results, and maintain a healthy balance between aggressive delivery and analytical rigor 

• A Master's degree or higher in a quantitative field (e.g. science, engineering, economics, finance, statistics, or similar) and have 2 years of work experience involving quantitative data analysis and complex problem solving.