Business Data Scientist, gTech Users and Products

About the role

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Responsibilities

• Translate ambiguous business and operational challenges into scalable analytical solutions, models, and actionable insights.
• Lead project work and mentor team members in designing and deploying data science models, ML/AI solutions, robust data pipelines, and evaluation frameworks.
• Build and implement reusable, scalable analytical tools and automated solutions that optimize the operational processes.
• Collaborate with engineering partners to write robust code and implement tools that improve troubleshooting efficiency, operational workflows, and the end-user experience.
• Manage cross-functional stakeholder expectations, communicating complex technical findings and data insights clearly to both technical and non-technical audiences to drive business decisions.

Requirements

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience with Machine Learning (ML) models or Artificial Intelligence (AI).

Preferred qualifications

• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience applying ML models and AI techniques to analyze complex datasets and solve business problems.
• A strong foundation in statistical methodologies to analyze operational data and validate business decisions.
• The ability to manage multiple projects with engaging priorities in an ambiguous environment.
• The ability to translate complex data insights into compelling narratives to influence cross-functional partners and executives.

Qualifications

• Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience with Machine Learning (ML) models or Artificial Intelligence (AI).

Skills

• Strong foundation in statistical methodologies to analyze operational data and validate business decisions.
• The ability to manage multiple projects with engaging priorities in an ambiguous environment.
• The ability to translate complex data insights into compelling narratives to influence cross-functional partners and executives.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Pay

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Schedule

N/A