Quantitative Analyst Job Google

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

Job Title

Data Scientist

Location

Charleston, USA

Salary

$20-30 per hour

Educational Requirements

• 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.

Favored Capabilities

• Experience with trial plan and managed/solo AI approaches for relapse and arrangement undertakings.
• Experience working with media information and changing it into factors/information outlines for portrayal purposes.
• Experience leading quantitative examinations to drive significant change or streamlining in a business setting.
• Experience in underlying driver examination to tackle issues in a strategic and key level.
• Comprehension of Bayesian demonstrating structure.

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 point 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. You will keep a worldwide degree and require working with groups working across districts and promoting substances.

Obligations

• Offer help in media system, estimation and enhancement that require mastery in cutting edge examination work, with exceptional spotlight on Showcasing Blend Displaying (MMMs).
• Band together with inner groups in cutting edge examination work including trial and error, estimation and demonstrating.
• Convey information driven approach, in light of a group based showcasing technique to construct, section, and test crowds.
• Cooperate with inner groups to degree, fabricate and convey key drives driving everything promoting information, with an emphasis on computerized showcasing information pipelines.
• Distinguish examples and ways of behaving that are viable indicators of execution and basic drivers for a fruitful media plan.