Business Data Scientist, Customer Voice, Analytics

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.

The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities

• Design, train, and deploy NLP models and unsupervised machine learning algorithms to identify emerging trends and friction points within sales transcripts.
• Build predictive machine learning models that leverage text-derived features to forecast key outcomes.
• Apply robust statistical methods (e.g., confidence intervals, significance testing, sampling strategies) to your findings, ensuring the metrics and themes we report to product and GTM leadership are reliable and statistically sound.
• Transform complex NLP and ML outputs into clear, compelling narratives, effectively communicating the "so what" and the degree of certainty behind the data.

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 working with Large Language Models, prompt engineering, and fine-tuning techniques.

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 with vector databases, embedding models, transformer models, and clustering algorithms.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA; Irvine, CA, USA; New York, NY, USA.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.