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Business Data Scientist, Sales Insights

GoogleNew York, NY, USA; Chicago, IL, USA; +5 more; +4 more
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA; Mountain View, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred qualifications:

  • 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Experience with causal inference techniques, including incrementality measurement, observational studies, quasi-experimental designs (e.g., Difference-in-Differences).
  • Experience with A/B testing design, implementation, and analysis.

About the job

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.

As a Business Data Scientist on this team, you will be a builder who will be responsible for designing, developing, and implementing advanced models and in-depth analysis to solve business problems. You will leverage various datasets including business behavior, product journeys, business tooling and training interventions to uncover actionable insights. Your work will directly contribute to understanding the drivers of business outcomes, identifying opportunities to increase business and efficiency, and ultimately demonstrating the incremental value and Return on Investment (ROI) of various business and activation levers. You will collaborate closely with data engineers, other analysts, and business stakeholders, translating findings into clear, impactful recommendations.
The US base salary range for this full-time position is $166,000-$244,000 + 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Design, build, validate, and deploy statistical techniques (e.g., predictive models, causal inference models, segmentation models) to address key business questions across business activities and activation insights.
  • Conduct data analysis to identify operational insights, transforming raw data into clear, actionable business recommendations.
  • Design, develop and launch reporting/dashboard solutions to enable stakeholder teams to independently and consistently track and manage key metrics.
  • Act as a thought partner to business stakeholders, understanding their issues, translating business questions into well-defined problems, and communicating methodologies and findings clearly and concisely to non-technical audiences to deliver informed decision-making.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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