Glo is hiring a
Lead Data Scientist, Remote - Worldwide
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Summary
The Lead Data Scientist will formulate Glo's data strategy, lead the team to improve data reliability and quality, and develop predictive models. This role requires a degree in Computer Science or related field, 5 years of experience in data science, proficiency in programming languages, and knowledge of data engineering concepts.
Requirements
- 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
Responsibilities
- Formulate Glo’s data strategy
- Lead the effort to build, implement and support the data infrastructure
- Manage a team of 2 data engineers
- Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling
- Analyze and confirm the integrity of source data
- 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
- 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
Preferred Qualifications
- Experience building ML Models for new Product Features & Fraud
- Experience with Open Source Data Visualization tools
- Experience with Databricks, Reverse ETL
Benefits
Remote work for certain states (California, Arkansas, Minnesota, Florida, or Texas)
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