Data Scientist, Product, Google Voice

Data Scientist, Product, Google Voice Kirkland, WA Job Details Full-time $192,000 - $278,000 a year 1 day ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications Statistics Stakeholder engagement Master's degree in physics Economics Data Integration (Data management) Statistics Bachelor's degree in statistics Bachelor's degree in Physics Software coding Engineering R Mathematics Bachelor's degree in economics Master's degree 8 years SQL Key Performance Indicators Bachelor's degree in engineering Bachelor's degree Physics Master's degree in statistics Master's degree in mathematics Presentation creation Data visualization Bachelor's degree in mathematics Senior level Master's degree in engineering Cross-functional collaboration Research findings presentation Communication skills Python Bachelor's degree in data science Statistical analysis tools Data Science Stakeholder management Database software proficiency Full Job Description In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits:

401(k) with company match

Paid Time Off:

20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time:

40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave:

18 weeks

Holidays:

13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA; Kirkland, WA, USA; New York, NY, USA .

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Experience in extracting data with SQL and designing ETL flows, and with statistical software (e.g., R, Python) and database languages (e.g., SQL).

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience working with engineers and product managers. Track record of solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives. About the job Google Voice connects users globally, from dedicated power users to the countless businesses that rely on phone calls as their primary way to interact with customers. Voice has an unprecedented opportunity to redefine the traditional business communication experience. Powered by Gemini, we are developing industry-leading Generative AI features that will be a key differentiator in the marketplace and drive our next wave of growth. The US base salary range for this full-time position is $192,000-$278,000 + 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 Work closely with stakeholders in product management, engineering and operation teams to define performance goals, KPIs and other success measurements. Work with large, complex internal data sets. Solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the video team and Workspace. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Collaborate with the engineering team to ensure infrastructure supports key analyses. 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.