Minimum qualifications: + Bachelor’s degree or equivalent practical experience. + 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. + 2 years of experience with data structures or algorithms. + 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). + Experience in data analysis tools (R, SQL) and techniques (machine learning, statistical analysis, data mining). Preferred qualifications: + Master’s degree in computer science, machine learning and artificial intelligence, data science and engineering or other related technical field. + Experience in developing and utilizing data visualization tools. + Experience in Python or R for data analysis and modeling. + Experience in a data science role, with the ability to deliver impactful insights. + Experience in SQL for data querying and manipulation. + Understanding of statistical modeling, machine learning algorithms, and data visualization techniques. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) . + Identify, collect, and integrate datasets from various internal and external sources. + Develop and maintain robust data pipelines for efficient data extraction, transformation, and loading. + Apply advanced statistical and machine learning techniques to analyze datasets and extract meaningful insights. + Develop and implement methodologies to quantify and understand end-user sentiment regarding Pixel Ecosystem quality. + Conduct exploratory data analysis to identify patterns, trends, and anomalies within the collected data. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.