Building Your First Classification Model in Python with Scikit-learn
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Data architects design, build, optimize, and maintain data management systems which support the data needs of an organization. They ensure that enterprise data systems will scale with increased demand.
SQL, Amazon Web Services, and Python
Cloud Computing, Data Analytics, and Databases
Percent of recent job postings including a given data tool
Percent of recent job postings including a given data technique
gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
The gTech Data Strategy and Architecture team is responsible for building out data management, governance, and architecture practices to alleviate the data pain points felt across the Ads Support ecosystem.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
We are proud to be named one the World’s Best Workplaces and a Best Workplace for Diversity by Fortune Magazine! Learn more about our award-winning organization by visiting stryker.com
Our benefits include bonuses; commissions; healthcare; insurance benefits; retirement programs; stock based plans; paid time off plans; family and parenting leaves; tuition reimbursement; wellness programs; onsite fitness centers and cafeterias; discount purchase programs; and service and performance awards - not to mention various social and recreational activities.
At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker, you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better. Here, you will work in a supportive culture with other incredibly talented and intelligent people, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.
Need another reason to apply? Check out these 8 reasons to join Stryker's engineering team: https://www.strykercareersblog.com/post/8-reasons-to-join-strykers-engineering-team
Curious learners. People who seek out cutting-edge research and information to expand and enhance their ability to develop new ideas into reality.
Dedicated Achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.
Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.
The Principal Data Architect is responsible for driving the architecture of data and processes to meet business needs. In addition, the Principal Data Architect will lead the design, build, and management of the overall infrastructure and underlying data model that will deliver accurate, reliable data to the right place, in the right format, at the right time. This position will be part of the Data Engineering team and will bring strong quantitative skills, experience, and strategic vision to our data engineering capabilities. In this role, you will be engaged in projects that will ultimately use the data for advanced analytics techniques, such as optimization, forecasting, machine learning, predictive maintenance, dashboarding, reporting, and statistical analysis, to develop solutions that help deliver significant value to customers.