Senior Business Data Scientist, GBS&O
- linkCopy link
- emailEmail a friend
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.
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.
- Experience in designing and implementing causal inference methods.
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.
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.
In this Senior Business Data Scientist role, you will be one of the key data science leads on the team. Your primary mission will be to help our Global Business Strategy and Operations (GBS&O) partners make the best possible decisions using data. You will own the full data science lifecycle for high-impact, ambiguous business problems, from initial analysis to strategic recommendation. You will manage a range of high-impact projects (e.g., applying Causal Inference, predictive modeling, etc.), your initial focus will be on our foundational Survey Analytics programs, working closely with Strategy and Operations stakeholders who will own the end-to-end survey processes. In this capacity, you will own the technical infrastructure and advanced analytical roadmap for systems that measure our customer and sales teams ecosystems. This role requires the flexibility to pivot based on evolving business needs. You will act as level-headed and proactive leader to put across organizations to drive alignment and simplicity. You will be ready to get around obstacles, adapt your skills, and push yourself outside of the comfort zone to achieve the goals.
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.Responsibilities
- Lead the data infrastructure abd analytics of critical survey programs, from designing data pipelines and tooling to executing advanced statistical analysis and generating strategic insights.
- Own the full data science lifecycle, applying your expertise in causal inference, predictive modeling, and descriptive analytics to build frameworks that solve complex business problems.
- Manage ambiguous problems by diving into complex, messy datasets, then use your expert toolkit (SQL, R, and Python) to find creative, scalable solutions and build automated data pipelines, BI infrastructure, and dashboards from the ground up.
- Act as a data storyteller and strategic partner, translating complex findings into compelling narratives and strategic recommendations that influence and align executive leaders and various teams (Strategy, Product, Engineering).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.