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Lead Data Scientist Jobs
Company | Glo |
Address | Los Angeles, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Internet Publishing |
Expires | 2023-06-01 |
Posted at | 1 year ago |
About Glo
- Lead the development of data-driven solutions by working with stakeholders.
- Manage Data Engineer and mentor junior data scientists, providing guidance on best practices.
- Stay up-to-date with advancements in data science to improve modeling capabilities.
- Lead the effort to build, implement and support the data infrastructure.
- Develop and maintain predictive models supporting both product & data initiatives.
- Ensure data quality and integrity in modeling by working with data engineers and analysts.
- Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling.
- Analyze and confirm the integrity of source data to be evaluated.
- Provide technical leadership in Data space.
- Own majority of the deliverables for the Data team.
- Communicate complex technical concepts to non-technical stakeholders through visualizations and presentations.
- Collaborate with cross-functional teams to align data-driven solutions with business objectives.
- You have a strong background in statistics, mathematics, and programming, and you have experience working with data in Python, R, SQL, or another statistical language.
- You have proven experience mentoring junior data scientists and guiding best practices in modeling and analysis.
- You have experience working with large datasets, and you are able to identify and address data quality and integrity issues.
- You are a creative problem solver who is able to develop innovative approaches to complex data analysis challenges.
- You are familiar with machine learning and data mining techniques, and you have experience building predictive models.
- You are able to work independently and work collaboratively in cross-functional teams to lead projects from ideation to implementation.
- You have experience with data visualization tools and techniques, and you are able to communicate your findings effectively to both technical and non-technical audiences.
- You have a growth mindset and are excited to continuously learn and stay up-to-date with the latest developments in the field of data science.
- You have strong communication skills, allowing you to communicate clearly with a dispersed team across multiple channels and convey technical concepts to non-technical stakeholders.
- Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda.
- 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.
- Strong understanding of statistical concepts and machine learning algorithms.
- Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience with Databricks, Reverse ETL.
- Experience building ML Models for new Product Features & Fraud.
- Experience with Open Source Data Visualization tools.
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