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Data Science Research, Search, Real World Journey

Data Science Research, Search, Real World Journey

4 Weeks ago • 3-5 Years • Data Analyst • Undisclosed

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

unity

python

sql

data-science

forecasting-budgeting

Job Description

This Data Science Research role at Google focuses on leveraging data to solve real-world problems related to search. Responsibilities include collaborating with cross-functional teams to identify and refine business questions, designing and evaluating mathematical models, gathering and cleaning data from various sources (using SQL, R, Python), and ensuring data quality for analysis. The role requires expertise in statistical modeling, forecasting, and experience in an applied research setting. The successful candidate will contribute to Google's mission by using data-driven insights to improve products and services. Experience with survey research and statistical software packages is also valuable.

Must have:

Master's degree in quantitative field or equivalent experience
3+ years analytics experience solving product/business problems
Proficiency in Python, R, SQL
Data gathering, cleaning, and analysis skills
Statistical modeling and forecasting expertise

Good to have:

PhD degree
5+ years of relevant work experience
Experience in survey research
Experience with statistical software (R, SPSS, Stata, SAS)
Experience in an applied research setting

Minimum qualifications:

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

Preferred qualifications:

5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
4 years of work experience analyzing data and creating reports with statistical, quantitative modeling, and forecasting.
3 years of experience in an applied research setting.
Experience with Python, R, or other scripting languages.
Experience in survey research, with knowledge of statistics and a statistical software package (e.g., R, SPSS, Stata, SAS).

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions, provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models, design and evaluate models to mathematically express and solve defined problems.
Gather information, business goals, priorities, and organizational context, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources through relevant tools (e.g., SQL, R, Python), format, re-structure, or validate data to ensure quality, and review the dataset to ensure it's ready for analysis.

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About The Company

Google

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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.