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Data Scientist, Product, Cloud Managed Infrastructure

Masovian Voivodeship, Poland (On-site)

Data Scientist, Product, Cloud Managed Infrastructure

2 Months ago • 3-5 Years

About the job

3 skills required for this role

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

python

sql

cross-functional

Job Description

As a Data Scientist, Product, Cloud Managed Infrastructure at Google Cloud, you will leverage your expertise in statistical analysis, data mining, and querying to drive product development and improvements. You will analyze data, identify patterns, and report insights to influence product features and ensure efficient fleet management. Responsibilities include performing analysis using tools like SQL, R, and Python; reporting key performance indicators (KPIs); translating analysis results into business insights; and conducting feasibility analyses with software engineers and product managers.

Must have:

Master's degree in Statistics, Economics, Engineering, Mathematics, or related quantitative field
3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL)
1 year of experience managing analytical projects
Excellent statistical skills, including descriptive statistics, experiment design, inference, statistical decision making

Good to have:

3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products
1 year of experience working in a complex, matrixed organization
Experience in developing data pipelines and working with large volumes of data
Experience with cloud products

Minimum qualifications:

Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
1 year of experience managing analytical projects.

Preferred qualifications:

3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
1 year of experience working in a complex, matrixed organization.
Experience in developing data pipelines and working with large volumes of data
Experience with cloud products.
Excellent statistical skills, including descriptive statistics, experiment design, inference, statistical decision making.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
Conduct feasibility analyses with Software Engineers and Product Managers, you quantify estimated impact of a proposed product or feature on business and on fleet efficiency.
Identify patterns and analyze how existing products are used by our customers; you report unusual/creative behavior; you provide quantitative perspective to product owners.

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About The Company

Google

2191 Active Jobs

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.