Exciting Job Opportunities at Google | Multiple Locations

Exciting Job Opportunities at Google :-

Google is hiring candidates for the Multiple Roles for the Across India Locations. The complete details about Exciting Job Opportunities at Google are as follows.

Job Role 1 : Web Solutions Engineer

Required Qualifications & Skills:

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• Experience in coding using either Java, C++, or Python.
• Experience in SQL, Technical Design, Web Technologies, Troubleshooting, and Stakeholder Management.

Preferred qualifications:

• Bachelor’s degree or advanced degree in Computer Science or Computer Engineering.
• Experience working with ad tech products (e.g., ad server, DSPs, DMPs, and web analytics).
• Excellent project management and leadership skills. Excellent problem solving skills and ability to formulate data-driven proposals.
• Excellent written and verbal business communication skills.

Roles & Responsibilities:

• Collect requirements, and provide guidance and best practices to apply to ad products and technologies.
• Be responsible for proactively scoping, designing, and building series of solutions and best practices at a global level to be reused by customers, sellers, and partners.
• Leverage engineering skills to adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that can support customers.
• Own the solution lifecycle from discovery to launch, managing maintenance bugs and feature requests, as well as deprecation for a portfolio of scaled solutions.

Job Role 2 : Technical Solutions Consultant

Required Qualifications & Skills:

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• Experience in SQL, technical design, troubleshooting, stakeholder management, data analytics, Python and data visualization.

Preferred Qualifications:

• Experience working with data visualization tools like Tableau, Looker Studio, etc.
• Experience in a client-facing data analytics role or in presenting data based narratives to executive stakeholders and partners.
• Experience with database management systems, SQL workflow management.
• Experience with web technologies such as JavaScript, TypeScript, HTML.
• Advanced knowledge of SQL and automation techniques.
• Ability to code in an object oriented programming language (e.g., Python).

Roles & Responsibilities:

• Work with sellers, partners and gTech Ads Solutions specialists to develop data infrastructure and automated solutions to deliver business insights for customers.
• Understand business requirements, provide technical guidance and develop automation and reporting tools and solutions in partnership with stakeholder teams.
• Analyze large and complex datasets, convert them into insights enablement solutions to drive customer business objectives and enable client decisions.
• Utilize insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals, to enable sales of Google media solutions.
• Use communication and stakeholder management skills to make complex data sets and concepts simple and easy to digest.

Job Role 3 : Data Scientist

Required Qualifications & Skills:

Minimum qualifications:

• Master’s degree in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
• Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
• Internship or work experience with data. Experience in quantitative methodologies with statistics and causal inference method.

Preferred qualifications:

• PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
• Experience with machine learning on large datasets.
• Ability to draw conclusions from data and recommend actions.
• Ability to teach others and learn new techniques such as differential privacy.
• Ability to select the right statistical tools given a data analysis problem.

Roles & Responsibilities:

• Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced problem-solving methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecast and optimize methods to improve the quality of Google’s user facing products such as ads quality, search quality, end-user behavioral modeling and live experiments.
• Help suggest, support and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams.
• Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale.

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