Data Scientist

Define the Scope of the Work (20%)Work with product owners of different verticals, branch offices, and the senior leadership to fully understand the background, purpose, and the goals of each project.Work with IT and the database team to understand the data infrastructure to support each project.Define the additional resources needed to support each project.Define the big and small milestones for each project.Define the metrics used to evaluate the success and failure of each project.Responsible for descriptive and inferential statistical analyses (40%)Drive novel insights from large and complex data sets by developing and applying cutting-edge data wrangling and analytics capabilities.Run descriptive statistical analysis to reveal the trend and pattern of customer data.Build, validate and implement predictive models to address key scientific and business questions in partnership with the business owners.Work with other stakeholders to design pilots, experiments, or surveys to derive insights for solving business problems.Dashboard reporting (10%)Build key metrics to track customer segmentation performances.Work with data engineering team by delivering accurate and consistent data that meet the reporting needs.Create actual reports that can provide deep insights for audience to track our business performances.Interpret and present results (20%)Interpret complex statistical results in an easy-to-understand language.Convert statistical results into actionable business plans.Present analytics or modeling results to both technical and non-technical stakeholders.Mentorship (10%)Guide and mentor junior data scientists.Be a data science thought leader who proactively partners internally and externally to promote growth and development of our data scientists, and drive adoption of data science best practices.Job Qualifications:Minimum a bachelor’s degree in a quantitative field such as mathematics, statistics, data science, physics, computer science, or engineering. A master’s degree or a Ph.D. is preferred.Minimum 5+ years of experience in a data analytics or data science role with a bachelor’s degree, or 2+ years of experience with a master’s degree.Strong expertise in SQL and Python (or R).Working knowledge of data visualization or reporting tools such as Tableau, Google Data Studio, Power BI, or QLIK.Experience in building statistical and machine learning models independently in a business setting.Experience in solving customer-level business problems.Strong verbal and written communications skills to both technical and non-technical audiences.Ability to prioritize and meet timelines in a fast-paced and dynamic environment.Strong logical thinking skills.Preferred Qualifications:Working knowledge of Snowflake, AWS cloud services, and Google Cloud Platform APIs.Experience with solving business problems in the construction industry.

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