Job Description
Company Overview
Google is a global technology leader renowned for its innovative products and services, ranging from search and advertising to cloud computing, artificial intelligence, and consumer hardware. With a mission to organize the world’s information and make it universally accessible and useful, Google continually invests in cutting‑edge research and data‑driven solutions. The company’s data science teams collaborate across product areas to transform massive datasets into actionable insights that power user experiences worldwide.
Key Responsibilities - Key Responsiblities For "Data Scientist" Main job duties
- Design, develop, and deploy scalable statistical models and machine learning pipelines that address complex business problems across advertising, search, and cloud services.
- Conduct exploratory data analysis to uncover patterns, trends, and anomalies, translating findings into clear visualizations and executive‑level presentations.
- Partner with product managers, engineers, and analysts to define experiment frameworks, formulate hypotheses, and evaluate A/B test results.
- Implement robust data‑engineering workflows, ensuring data quality, reproducibility, and compliance with privacy standards.
- Publish research findings in internal forums and, when appropriate, external conferences or journals to contribute to the broader scientific community.
- Mentor junior data scientists and contribute to the continuous improvement of best practices, coding standards, and analytical methodologies.
Required Qualifications
- Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
- Minimum of 3 years of professional experience applying statistical modeling, machine learning, or deep learning techniques to large‑scale data sets.
- Proficiency in Python or R, with solid experience using libraries such as TensorFlow, PyTorch, scikit‑learn, and pandas.
- Strong SQL skills and familiarity with big‑data platforms (e.g., BigQuery, Spark, Hadoop).
- Demonstrated ability to communicate complex analytical concepts to non‑technical stakeholders.
- Proven track record of delivering production‑ready models that drive measurable business impact.
Desired Skills
- Experience with cloud‑based ML services (Google Cloud AI Platform, Vertex AI).
- Knowledge of causal inference, reinforcement learning, or natural language processing.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for model deployment.
- Contributions to open‑source projects or publications in top‑tier conferences.
- Ability to work in a fast‑paced, cross‑functional environment and manage multiple priorities.
Compensation & Benefits
- Base salary range: $130,000 to $210,000 annually, depending on experience and location (San Francisco Bay Area).
- Annual performance bonus and equity grant program aligned with Google’s long‑term incentive plan.
- Comprehensive health, dental, and vision coverage, generous paid parental leave, and 401(k) matching.
- Tuition reimbursement, professional development stipend, and access to on‑site wellness facilities.
- Flexible work arrangements, including hybrid office/home schedules and generous paid time off.
How to Apply
Visit Google’s Careers portal, locate the “Data Scientist – Advertising Analytics” posting, and submit your resume, a cover letter highlighting relevant project experience, and any supporting portfolio or code samples. After submission, the recruiting team will review your application and contact you to discuss next steps.
Google is a global technology leader renowned for its innovative products and services, ranging from search and advertising to cloud computing, artificial intelligence, and consumer hardware. With a mission to organize the world’s information and make it universally accessible and useful, Google continually invests in cutting‑edge research and data‑driven solutions. The company’s data science teams collaborate across product areas to transform massive datasets into actionable insights that power user experiences worldwide.
Key Responsibilities - Key Responsiblities For "Data Scientist" Main job duties
- Design, develop, and deploy scalable statistical models and machine learning pipelines that address complex business problems across advertising, search, and cloud services.
- Conduct exploratory data analysis to uncover patterns, trends, and anomalies, translating findings into clear visualizations and executive‑level presentations.
- Partner with product managers, engineers, and analysts to define experiment frameworks, formulate hypotheses, and evaluate A/B test results.
- Implement robust data‑engineering workflows, ensuring data quality, reproducibility, and compliance with privacy standards.
- Publish research findings in internal forums and, when appropriate, external conferences or journals to contribute to the broader scientific community.
- Mentor junior data scientists and contribute to the continuous improvement of best practices, coding standards, and analytical methodologies.
Required Qualifications
- Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
- Minimum of 3 years of professional experience applying statistical modeling, machine learning, or deep learning techniques to large‑scale data sets.
- Proficiency in Python or R, with solid experience using libraries such as TensorFlow, PyTorch, scikit‑learn, and pandas.
- Strong SQL skills and familiarity with big‑data platforms (e.g., BigQuery, Spark, Hadoop).
- Demonstrated ability to communicate complex analytical concepts to non‑technical stakeholders.
- Proven track record of delivering production‑ready models that drive measurable business impact.
Desired Skills
- Experience with cloud‑based ML services (Google Cloud AI Platform, Vertex AI).
- Knowledge of causal inference, reinforcement learning, or natural language processing.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for model deployment.
- Contributions to open‑source projects or publications in top‑tier conferences.
- Ability to work in a fast‑paced, cross‑functional environment and manage multiple priorities.
Compensation & Benefits
- Base salary range: $130,000 to $210,000 annually, depending on experience and location (San Francisco Bay Area).
- Annual performance bonus and equity grant program aligned with Google’s long‑term incentive plan.
- Comprehensive health, dental, and vision coverage, generous paid parental leave, and 401(k) matching.
- Tuition reimbursement, professional development stipend, and access to on‑site wellness facilities.
- Flexible work arrangements, including hybrid office/home schedules and generous paid time off.
How to Apply
Visit Google’s Careers portal, locate the “Data Scientist – Advertising Analytics” posting, and submit your resume, a cover letter highlighting relevant project experience, and any supporting portfolio or code samples. After submission, the recruiting team will review your application and contact you to discuss next steps.
Required Skills
- Data
- Scientist