Minimum Qualifications:

• Master's Degree In Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering Or Related Quantitative Field.
• 3 Years Of Professional Experience Using Research To Solve Product Or Business Problems, Coding (E.G. Python, R, Sql), Database Queries, Or Statistical Analysis, Or 2 Years Of Professional Experience In Ph. D.

Required Qualifications:

4 Years Of Professional Experience Using Analytics To Solve Product Or Business Problems, Coding (E.G. Python, R, Sql), Database Queries, Or Statistical Analysis, Or 3 Years Of Professional Experience With A Ph.D.

About Work

Google Is And Always Will Be An Engineering Company. We Hire People With A Wide Range Of Skills Who Are Ready To Tackle Some Of The Biggest Technical Challenges And Impact Millions, If Not Billions, Of Users. At Google, Data Scientists Are Not Only Revolutionizing Search, But They Are Constantly Working On High Scalability And Security Solutions, Large Applications, And New Platforms For Developers Around The World. From Google Ads To Chrome, From Android To YouTube, From Social Media To Local, Google Engineers Are Changing The World, One Technological Achievement After Another. As A Data Scientist, You Will Analyze And Improve Google Products. You Will Work With A Multidisciplinary Team Of Engineers And Researchers On A Variety Of Problems.

This Position Will Strengthen The Scientific And Statistical Methods And The Challenges Of, Creating And Improving Products And The Appreciation Of End User Characteristics.

Work

• Collaborate With Project Managers And Project Teams To Identify And Clarify Business Or Product Questions That Need To Be Answered.
• Provide Feedback To Translate And Transform Business Questions Into Actionable Research, Analytical Metrics, Or Mathematical Models.
• Use Custom Data Resources Or Existing Data Models Where Appropriate, Using Expert Knowledge.
• Design And Analyze Models To Explain Mathematically And Solve Specific Problems In Small Steps.
• Gather Information, Business Objectives, Priorities, And Organizational Structure Around The Questions To Be Answered, As Well As Existing And Future Data Resources.
• Learn How To Collect, Extract, And Organize Data Between Sources Using Relevant Tools (E.G. Sql, R, Python).
• Organize, Reorganize, And/Or Validate Data To Ensure Quality, And Review Data Records To Ensure They Are Ready For Analysis.

Job Benefits:

• Health And Wellness: Comprehensive Health Insurance Plans Including Scientific, Dental, Mental And Prescient Coverage. Google Also Offers A Gym And Fitness Equipment On Site To Improve User Fitness.
• Retirement Savings: Generous Retirement Plans, Including 401(OK) Matching, To Help Employees Prepare For The Future.
• Paid Vacation: Generous Vacation And Paid Vacation Policies To Support A Stable Work Life.
• Parent Outreach: Google Has A Comprehensive Parent Outreach Benefit For Primary And Secondary Caregivers, Helping New Parents Through The Early Stages Of Motherhood.
• Flexible Graphics Hours: Google Emphasizes Stability In Graphics And Lifestyle And Provides Regular Changes In Graphics Hours And Other Remote Graphics.
• Bonus Options: Eligible Employees Can Receive Additional Merchandise As Part Of Their Compensation, Allowing Them To Benefit From Increased Employer Benefits.
• Education And Education: Google Supports Management And Continuous Development By Providing Access To Various Applications And Resources Of Schools.
• Food And Snacks: Many Google Companies Have On-Site Cafeterias That Serve Meals And Snacks Not Recommended For Employees.
• Transportation: Some Locations Offer Transportation Benefits, Including Shuttle Service Or Passenger Assistance.
• User Support Tools: Google Provides Resources And Support For Users Facing Personal Or Work-Related Challenges.
• Wellness Apps: Various Wellness Features Include Mental Health Guides, Stress Management, And Exercise Games.
• Network Involvement: Google Always Encourages Employees To Get Involved In Volunteering And Community Service.