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Lead Data Scientist

San Francisco, CA, United States

Position Overview:

The Lead 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. Lead the team to implement methods to improve data reliability and quality.

Essential Functions and Responsibilities: Provides technical leadership in Data space

Lead the effort to build, implement and support the data infrastructure

Manage team of 2 data engineers

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

Mentor junior data scientists and provide guidance on best practices

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, or Texas.

Some travel may be required for in-person collaboration

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.

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