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Business Data Scientist, gTech Ads Data Science

Business Data Scientist, gTech Ads Data Science

2 Days ago • 1 Years + • Data Analyst

About the job

7 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

python

sql

matlab

data-science

innovation

cross-functional

Job Description

The Business Data Scientist at gTech Ads will lead data science aspects of client engagements, focusing on marketing effectiveness and portfolio management. Responsibilities include collaborating with clients to define problems, develop and implement statistical models using ML and statistical techniques, and translating data into actionable insights. The role requires experience with data extraction and modeling tools (SQL, Python), statistical software (R, Python, MATLAB), and a deep understanding of AI/ML and marketing analytics. Further responsibilities involve scaling proof-of-concept solutions, collaborating with internal teams, and presenting findings to clients to integrate recommendations into business processes. The position requires strong communication and collaboration skills and the ability to work with both technical and non-technical stakeholders.

Must have:

Bachelor's degree or equivalent experience
1 year Data Science experience
SQL, Python experience
AI/ML & statistical modeling
Marketing Analytics understanding
Data extraction & modeling skills
Client communication & presentation
Collaboration with internal teams

Good to have:

Master's degree in quantitative field
Experience with R or MATLAB
Experience delivering insights from AI/ML solutions

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Minimum qualifications:

Bachelor's degree, or equivalent practical experience.
1 year of experience in a Data Science field.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
Experience with data extraction and modeling tools (SQL, Python).
Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
Understanding of the statistical algorithms typically used in Marketing Analytics.

About the job

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Responsibilities

Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

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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.