Staff Business Data Scientist, Consumer Research and Insights
Exl
Job Description
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. 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.
Key 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.
Requirements
- 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.
- Experience conducting research within the technology, media, entertainment, or sports industries.
- Knowledge of Bayesian methods.
Nice to Have
- 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.
Benefits & Perks
- 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.
Working at Exl
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.
Job Details
About Exl
Website
google.com
Company Size
1-10 employees
Location
Mountain View, CA
Industry
Web Search Portals and All Other Information Services
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