Data Scientist, Product, Google Voice

Google • Raleigh, NC

18h • $192,000 - $278,000

About The Position

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.

Requirements

• 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).

Nice To Haves

• 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.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees