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Senior Data Scientist, Research, Ads Insight and Measurement

Karnataka, India (On-site)

Senior Data Scientist, Research, Ads Insight and Measurement

2 Months ago • 10 Years + • Data Analyst

About the job

3 skills required for this role

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pandas

python

matlab

Job Description

As a Senior Data Scientist at Google, you will play a key role in shaping Google's advertising and marketing strategies. You will leverage your expertise in statistical modeling, machine learning, and causal inference to analyze large datasets, identify opportunities for optimization, and develop data-driven solutions. You will work closely with engineering, product, and customer-facing teams to ensure the delivery of impactful insights and recommendations. Your responsibilities will include: suggesting and shaping new data-driven advertising products, defining relevant questions about advertising effectiveness, developing and implementing quantitative methods to answer these questions, combining large-scale experimentation, statistical-econometric, and machine learning methods, using causal inference methods to design and suggest experiments, assessing attribution, and answering strategic questions using data, and working with large, complex datasets.

Must have:

Master's degree in Statistics, Economics, or related field
10 years of experience in statistical modeling
Experience with statistical software (e.g., R, Python, MATLAB, Pandas)
Experience with database languages
Experience with statistical data analysis (linear models, multivariate analysis, stochastic models, sampling methods)
Experience articulating business questions and using statistical techniques to arrive at answers
Experience with machine learning on large datasets

Good to have:

PhD degree in a quantitative discipline
6 years of experience working as a Data Scientist
Knowledge of structural econometric methods and potential outcomes framework
Familiarity with causal inference methods (split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators)

Minimum qualifications:

Master's degree in Statistics, Economics, a related quantitative field, or equivalent practical experience.
10 years of experience in statistical modeling, including team management.
Experience with statistical software (e.g., R, Python, MATLAB, Pandas) and database languages.

Preferred qualifications:

PhD degree in a quantitative discipline.
6 years of experience working as a Data Scientist, including statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
Experience with machine learning on large datasets.
Knowledge of structural econometric methods and the understanding of potential outcomes framework.
Familiarity with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).

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.

In this role, you will create and plan campaigns to serve the right ads to the right users and help allocate resources to the right channels and allocate bids and budgets across campaigns appropriately. You will audit the efficacy of ads in delivering on various campaign goals. You will ensure users are exposed to ads they find useful and for publishers, content creators and other ad-technology firms can generate business appropriately.

Responsibilities

Suggest, support, and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with Engineering, Product, and Customer-facing teams.
Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding. Develop and implement quantitative methods to answer those questions.
Combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.
Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer strategic questions using data.
Work with large, complex data sets. Conduct analyses that include data gathering and requirements specification, Exploratory Data Analysis (EDA), model development, and written and verbal delivery of results to business partners and executives.

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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.