Data Scientist Manager II, Research

1 Month ago • 8-10 Years • Data Analyst

About the job

Job Description

As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. You will collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Must have:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Strong analytical and problem-solving skills.
  • Experience with statistical modeling and analysis.
  • Excellent communication and presentation skills.
Good to have:
  • PhD degree in a related quantitative field.
  • 3 years of experience as a people manager within a technical leadership role.
Not hearing back from companies?
Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Preferred qualifications:

  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
  • 3 years of experience as a people manager within a technical leadership role.

About the job

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.

The US base salary range for this full-time position is $177,000-$266,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
View Full Job Description
$177.0K - $266.0K/yr (Outscal est.)
$221.5K/yr avg.
San Francisco, California, United States

Add your resume

80%

Upload your resume, increase your shortlisting chances by 80%

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

View All Jobs

Get notified when new jobs are added by Google

Similar Jobs

Meta - Software Engineer, Machine Learning

Meta, United States (Remote)

Metadrob - Unreal Engine Developer

Metadrob, India (On-Site)

Meta - Data Center Energy Analyst

Meta, United States (On-Site)

Samsung Semiconductor - Senior Principal Engineer, DTCO

Samsung Semiconductor, United States (Hybrid)

Wolters Kluwer - Lead Product Software Engineer -  Lead Cloud Data Engineer

Wolters Kluwer, United States (Hybrid)

Nasdaq - Data Analyst - Surveillance

Nasdaq, United States (On-Site)

Netflix - Visualization Engineer (L5) - Content & Studio

Netflix, United States (Remote)

Cloudhire - Senior Database Engineer

Cloudhire, India (Remote)

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

GameDuell - Game UI Artist (Unity 2D) (f/m/d)

GameDuell, Germany (Hybrid)

Vidsy - Client Director

Vidsy, United States (Hybrid)

Scopely - Client Engineer

Scopely, China (On-Site)

Vidsy - Client Partner

Vidsy, United States (Hybrid)

Rovio Entertainment Corporation - Marketing Video Specialist

Rovio Entertainment Corporation, Finland (Hybrid)

Blizzard Entertainment - Lead Game Designer, Systems - Unannounced Game | Irvine, CA

Blizzard Entertainment, United States (Hybrid)

Meta - Software Engineer, Machine Learning

Meta, Singapore (On-Site)

Plummy games - 2D Animator

Plummy games, Estonia (Remote)

IO Interactive - Cinematic Artist

IO Interactive, Sweden (On-Site)

Get notifed when new similar jobs are uploaded

Jobs in San Francisco, California, United States

AppZen - Sales Development Representative - Arizona

AppZen, United States (Hybrid)

Inworld AI - Senior Product Manager, Agents - USA

Inworld AI, United States (On-Site)

Super.com - Senior Full-Stack Software Engineer ( Remote! )

Super.com, United States (Remote)

Google - Product Manager II, Google Distributed Cloud

Google, United States (On-Site)

Sandbox VR - Shift Lead (Key Holder)

Sandbox VR, United States (On-Site)

Flow - Senior/Staff Backend Software Engineer

Flow, United States (Hybrid)

Get notifed when new similar jobs are uploaded

Data Analyst Jobs

ION - Debt Restructuring Analyst

ION, India (On-Site)

Acceldata - Sales Engineer (East Coast - Remote)

Acceldata, Canada (Remote)

Grindr - Staff Data Scientist

Grindr, United States (On-Site)

Scopely - Product Analyst

Scopely, Spain (On-Site)

LeoVegas - Sportsbook Analyst - Data Team

LeoVegas, United Kingdom (On-Site)

ESL FACEIT Group - EFG - Data Analyst (Analytics Engineer)

ESL FACEIT Group - EFG, (On-Site)

The Walt Disney Company - Sr Data Engineer

The Walt Disney Company, United States (On-Site)

Get notifed when new similar jobs are uploaded