Quantitative Data Scientist - Media Analytics

Google; Charleston (SC); On-site; USD 27,552 - 41,328; Full time

Job summary

Google in Charleston, USA, seeks a Data Scientist to analyze large data sets and build models that improve how we interpret the Internet and boost product performance.

The role involves complex statistical analyses for non-routine problems, collaborating with engineers and product managers to deploy models, and delivering data-driven solutions for media, advertising, and strategic initiatives.

Qualifications

• Four year college education or comparable useful experience.
• 2 years of involvement with estimation and business examination.
• Experience in SQL or measurable programming dialects (e.g., R, Python).
• Experience working with various partners inside a business.

Responsibilities

• As a Quantitative Examiner, you will be liable for breaking down huge informational indexes and building master frameworks that work on how we might interpret the Internet and work on the exhibition of our items.
• This work remembers performing complex measurable examination for non-routine issues and working with specialists to implant models into creation frameworks.
• You will oversee quick changing business needs and connection with item directors and designers.
• In this job, you will drive everything media, advertising, examination, and cooperating with inward groups to assess vital drives.
• Utilizing first-party and outsider information sources, you will make inventive answers for show the viability of Google media speculation.

Skills

SQL

Python

R

Cross-functional collaboration

Business analytics

Education

Four year college education or comparable useful experience

2 years of involvement with estimation and business examination

Job description

Google in Charleston, USA, seeks a Data Scientist to analyze large data sets and build models that improve how we interpret the Internet and boost product performance.

The role involves complex statistical analyses for non-routine problems, collaborating with engineers and product managers to deploy models, and delivering data-driven solutions for media, advertising, and strategic initiatives.