Job Description
The application window will be open until at least July 31, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
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.
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; Boulder, CO, USA; Los Angeles, CA, USA; Atlanta, GA, 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, ****** orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
This role may also be located in our Playa Vista, CA campus.
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.
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; Boulder, CO, USA; Los Angeles, CA, USA; Atlanta, GA, 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, ****** orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
💡 Quick Summary
Seeking a career-building opportunity? The Business Data Scientist, Sales Insights position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
