Position Overview:
The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. This role will be responsible for enabling data-driven decisions across the Company by sourcing accurate data, building scalable infrastructure, and delivering analytics with predictive modeling. Use various methods to transform raw data into useful data systems. 
Essential Functions and Responsibilities:

• Lead the effort to build, implement and support the data infrastructure
• Own majority of the deliverables for the Data team
• Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling.
• Analyze and confirms the integrity of source data to be evaluated
• Lead the development of data-driven solutions by working with stakeholders
• Develop and maintain predictive models supporting both product & data initiatives
• Ensure data quality and integrity in modeling by working with data engineers and analysts
• Communicate complex technical concepts to non-technical stakeholders through visualizations and presentations
• Stay up-to-date with advancements in data science to improve modeling capabilities
• Collaborate with cross-functional teams to align data-driven solutions with business objectives

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• At least 5 years of experience in data science, machine learning, and statistical modeling
• Proficient in programming languages such as Python, R, SQL, and SAS
• Experience with data visualization tools such as Tableau, MixPanel, Google Looker
• Strong understanding of statistical concepts and machine learning algorithms
• Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda.
• Excellent communication and presentation skills to convey technical concepts to non-technical stakeholders
• Ability to work collaboratively in cross-functional teams and lead projects from ideation to implementation
• Experience mentoring junior data scientists and guiding best practices in modeling and analysis.

Preferred Qualifications:

• Experience building ML Models for new Product Features & Fraud
• Experience with Open Source Data Visualization tools
• Experience with Databricks, Reverse ETL

Cultural Values Qualifications:

• Start with the why
• Drive change
• Practice resilience
• Embrace progress over perfection
• Communicate openly
• Win together

Work Requirements:

• This position is fully remote for anyone living in California, Arkansas, Minnesota, Florida, Tennessee, or Texas.
• Some travel may be required for in-person collaboration
• Compensation: $145,000 - $180,000/year equity

Disclaimer
The above job description is meant to describe the general nature and level of work being performed. It is not an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.
Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently. Continued employment remains on an “at-will” basis.