Google hires exciting Data Science job in Bengaluru 2024.

Google is hiring for a Data Science job in Bengaluru 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at Google for the position of Data Science job in Bengaluru. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Jobs in Hyderabad or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

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About Company

Google, founded in 1998 by Larry Page and Sergey Brin while they were PhD students at Stanford University, is an American multinational corporation renowned for its search engine technology, online advertising, cloud computing, and artificial intelligence. As a subsidiary of Alphabet Inc. since 2015, Google has expanded its services to include products like Android, YouTube, and Google Cloud. Known for its innovative culture and significant market influence, Google handles over 70% of worldwide online search requests, making it a central part of the internet experience for billions of users.

About Job Role

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.

As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.

As a Data Scientist, you will evaluate and improve Google’s products. You will collaborate with a multi-disciplinary team of Engineers and Analysts on a wide range of problems, using statistical methods for the issues of measuring quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers.

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.

Requirements

• 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.

Why Join Google?

• Google is at the forefront of technology, recognized for its innovative ideas and outstanding service around the globe.
• Working as a Data Scientist at Google means that you’ll get a chance to contribute towards projects that affect millions of people across the globe.
• You will join hands with the brightest of engineers, product managers and analysts to find practical solutions to complex issues employing the most advanced analytics and machine learning techniques.
• As a Data Scientist with Google, you will be tasked with improving safer and core products such search for adverts and user experience in technology.
• The position also comes with large volume datasets to analyze, thus presents an opportunity to sharpen your analytical and problem-solving capabilities.
• You will also use sophisticated tools and data techniques, as well as function in an organization that encourages learning, growth and innovation.
• In addition to this, there is a culture of American expansion in Google.
• It is hands-on as they help you grow in skills as well as new ideas which most importantly focus on the safety of the information that is being worked upon and the data that is technology had.
• There is an opportunity along these lines and that is to be part of a fast-paced team that shapes how interactions, learning and even entertainment takes place in the social networks – a contemporaneous society.

Career Growth and Opportunities

• Being hired as a Data Scientist at Google is a stepping stone that readily instills a one within oneself all the skills both professionally and personally.
• The company has a healthy atmosphere and it promotes creativity and employees get the chance to work with some of the best people in different fields.
• As a Google employee, data will be your lifeblood and you will work on impactful projects, solving amazing problems day in day out, and all these will affect billions of people around the world.
• The position has a lot to offer in terms of learning, starting from the use of statistical approaches and machine learning models to working on practical tasks involving big data.
• There is a strong emphasis on learning, both formally through courses and informally with the help of product managers, developers or analysts working alongside you.
• This allows you to enhance your analytical capabilities, try new approaches, and work on projects that matter.
• Google as well has a clear career progression structure which simply assures its employees that career growth is achievable.
• You will get to play around with active projects – real life applications such as improving advertising or the Google platforms including user optimization.
• The environment of guidance and respect for an individual’s ability to adjust and just inquire, means that one is able to effectively and comfortably ask for help and provide feedback with this concern; improving career prospects.
• Thanks to such circumstances, Google encourages its employees to create, develop and leave their mark in the IT sector.

Industry Impact of the Role

• As one of the Data Scientists at Google, the work you shall do will be of great importance throughout the industry and beyond.
• The provision of sufficient and relevant information as a decision-making tool on the part of the management of Google plays a significant role in the expansion of its many products and services, and it is a decision that affects the information technology sector as a whole.
• In the capacity of a Data Scientist, your responsibility will include the analysis of complex data sets for the purposes of extracting meaning to improve quality of products, user experience and profitability of the business.
• You will help in making improvements to the core services, such as search, advertising and user behavior modeling.
• Besides improving the services offered by Google, the outcome of your activities will also affect the tech sector positively by making it possible to introduce new developments in data science such as machine learning techniques, statistical modeling, and privacy preserving technologies.
• Your contribution will also be instrumental in working with engineers as well as product teams to come up with new ways of solving existing problems that will push the envelope on product analytics in advertising, marketing and products.
• Your position will help strengthen Google’s leadership position within the industry and will allow one to partake in the upcoming data science breakthroughs expected in all industries.

Learning and Development Opportunities

• The Google work culture is such that each and every employee is expected to enhance their knowledge base, especially in positions like Data Scientist.
• It is the very nature of Google that promotes their employees to gain more learning and hence offers every latest tool, technology and the opportunity for research.
• As a Data Scientist, you will be immersed in various projects with different teams and data, and you will learn from the world’s best engineers, product managers, and marketers.
• The position provides an opportunity of addressing difficult situations using advanced statistical techniques, machine learning and big data analytics.
• In addition, coaching, workshops, and mentoring programs are organized at Google aiming for the skills and capabilities of the employees to be developed, which helped you to gain knowledge on the recent trends and developments in the profession.
• The availability of such opportunities for growth allows Data Scientists to develop their technical capabilities, gain more experience, and pursue their careers regardless of the rapid changes in the setting.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills, including Python, SAS, R is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

Rishikesh Deshmukh

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