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Staff Business Data Scientist, Consumer Research and Insights

Google

San Bruno (CA)

On-site

USD 197,000 - 291,000

Full time

3 days ago
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Job summary

Google is seeking a Staff Business Data Scientist specializing in Consumer Research and Insights, dedicated to leveraging data to guide product development and market strategies. This role requires a strong background in analytical methods and direct experience in the technology or media industries. From collaborating with teams to communicating insights to executives, you'll play a key role in shaping future products, focusing particularly on sports, music, and media.

Qualifications

  • Master's degree in a quantitative discipline required.
  • 7 years of analytical experience preferred.
  • Knowledge of Bayesian methods is beneficial.

Responsibilities

  • Develop quantitative models to estimate market size and product uptake.
  • Collaborate with cross-functional partners to integrate research findings.
  • Present research methodologies and findings to different audiences.

Skills

Analytical skills
Coding (Python, R, SQL)
Statistical analysis

Education

Master's degree in a quantitative discipline
PhD in Psychology, Economics, or related field

Job description

Staff Business Data Scientist, Consumer Research and Insights

Join to apply for the Staff Business Data Scientist, Consumer Research and Insights role at Google

Staff Business Data Scientist, Consumer Research and Insights

1 week ago Be among the first 25 applicants

Join to apply for the Staff Business Data Scientist, Consumer Research and Insights role at Google

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

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

Preferred qualifications:

  • PhD degree in Psychology, Economics, Statistics, Marketing Science, a related quantitative field, or equivalent practical experience.
  • 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Experience conducting research within the technology, media, entertainment, or sports industries.
  • Knowledge of Bayesian methods.

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 Staff Business Data Scientist, you will play a pivotal role in shaping the future of YouTube products. You will leverage your deep expertise in behavioral sciences, and both quantitative and qualitative research, to evaluate the market potential and consumer appeal of new initiatives, particularly within sports, music, and media. You will directly influence product development and Go-To-Market strategies. You will collaborate closely with business stakeholders and cross-functional teams to translate research findings.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $197,000-$291,000 + 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

  • Develop quantitative models to estimate market size, forecast product uptake, and identify key value drivers for new product concepts in sports, music, and media.
  • Collaborate with cross-functional partners in product management, strategy, business development, marketing, and finance to integrate research findings into business cases and planning.
  • Present research methodologies, findings, and recommendations clearly and persuasively to different audiences, including executives.
  • Analyze and synthesize research data to translate findings into actionable insights and recommendations for Go-To-Market (GTM) and product teams.


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, sexual 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 .

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    General Business, Strategy/Planning, and Consulting
  • Industries
    Information Services and Technology, Information and Internet

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