Marketing Data Scientist

Google; Gurugram District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Google is looking for a Data Scientist for their Marketing team based in Gurugram District, India. This role entails solving marketing challenges using data analytics, building measurement plans, and collaborating with cross-functional teams to deliver impactful solutions.

Candidates should possess a Master's degree in a quantitative discipline and have at least 3 years of analytical experience. This position offers a unique opportunity to influence marketing strategies and measurement for cutting-edge media campaigns.

Qualifications

• Master's degree in Statistics, Engineering, Sciences, or equivalent experience.
• 3 years of experience in analytics solving business problems or a PhD.
• Experience in experimentation design and machine learning.

Responsibilities

• Develop solutions for marketing challenges through data analytics.
• Build measurement plans for conversion lift tests and brand lift studies.
• Partner with internal teams for advanced analytics work.

Skills

Data analytics for marketing

Python

SQL

Statistics

Machine learning

Statistical analysis

Education

Master's degree in a quantitative discipline

Tools

R

Statistical modeling frameworks

Job description

Minimum qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications

• Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity.
• Experience with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks.
• Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level.
• Knowledge of R or Python for statistical analysis and SQL.
• Understanding of Bayesian approaches and modeling frameworks.
• Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross‑functional stakeholders.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior‑level executives, roll‑up your sleeves to help drive implementation and check back‑in to see the impact of your recommendations.

As a Data Scientist in the Marketing team, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns. You will support your team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, running geo‑experiments or Marketing Mix Models (MMM) or helping your team develop evaluation metrics that provide insights to the business. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion. You will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. You will create innovative solutions to demonstrate the effectiveness of Google’s media investment. At Google‑scale, this implies working on our industry’s toughest challenges. You will maintain global consistency, while keeping regional focus. You will be working with teams operating across regions and marketing entities.

Responsibilities

• Use your knowledge of data analytics to develop solutions for marketing challenges, while also uncovering opportunities for measurement and optimization to push brand and performance marketing to the next level.
• Build measurement plans, tracking requirements, reporting, metrics and benchmarks for the largest campaigns to understand the incremental impact of the marketing dollars. (e.g., conversion lift tests, matched market analyses, and brand lift studies).
• Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.
• Deliver customer‑centric, data‑driven approach, based on a people‑based marketing strategy to build, segment, and test audiences for best business results.
• Develop evaluation frameworks for large‑scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovate on statistical methods.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.