Data Scientist Tech Lead
Description For Data Scientist Tech Lead
Google Messages is seeking a Data Scientist Tech Lead to spearhead their data science initiatives, particularly focusing on spam detection and business messaging. This role combines technical leadership with hands-on data science work, requiring expertise in statistical analysis, experimental design, and strategic thinking. As a tech lead, you'll work with product managers and engineers to shape the future of Google's messaging platform, serving billions of users worldwide.
The position demands a strong quantitative background with significant experience in statistical analysis, data mining, and metrics development. You'll be responsible for leading the data science program for Messages Spam, designing and analyzing experiments, and providing strategic insights that drive product decisions. The role offers the opportunity to work on large-scale problems that impact Google's global user base.
The ideal candidate should have advanced degrees in quantitative fields, extensive experience with statistical packages and data analysis, and proven leadership abilities. You'll need to combine technical expertise with excellent communication skills, as you'll be presenting findings to executive leadership and translating complex analyses into actionable business recommendations.
Working at Google offers the chance to collaborate with world-class talent, access cutting-edge technology, and contribute to products that impact billions of users. The company provides a supportive environment focused on innovation and personal growth, with a strong commitment to diversity and inclusion. This role is perfect for someone who wants to lead technical initiatives while making a significant impact on Google's communication products.
Responsibilities For Data Scientist Tech Lead
- Own the data science program for Messages Spam and drive relationships between data science and data engineering
- Lead the design, analysis, and interpretation of product experiments related to Spam and business messaging
- Provide analytical thought leadership through proactive and strategic contributions
- Own outcomes for projects including problem definition, metrics development, data extraction, and implementation of analytical models
- Develop solutions and manage problems by framing issues, generating hypotheses, and making recommendations
Requirements For Data Scientist Tech Lead
- Master's degree in Statistics, Economics, Engineering, Mathematics, or related quantitative field
- 7 years of experience with statistical data analysis and statistical packages (R or Python)
- 5 years of experience with data mining, querying, and managing analytical projects
- 3 years of experience developing and managing metrics or evaluating programs/products
- Experience in scripting with SQL and ETL flows
- Excellent written and verbal communication skills
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