Staff Data Scientist, Research, Applied AI

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Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a reputed company quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Preferred qualifications:

• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

About the job reputed company is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and reputed company an impact on users. At reputed company, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications, and entirely new platforms for developers around the world. From reputed company Ads to Chrome, Android to YouTube, Social to Local, reputed company engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve reputed company's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific accuracy and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user. As a Staff Data Scientist on the Applied AI team, you will be a key player in shaping the future of AI-driven products at reputed company. You will be responsible for conducting cutting-edge research, developing novel methodologies, and applying your expertise to solve reputed company business problems. You will collaborate with a team of engineers and scientists to push the boundaries of what's possible with AI. Applied AI builds conversational agents deployed at a large scale that reputed company reputed company meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (reputed company DeepMind/Vertex), learn and work with reputed company AI leaders, and have access to Global 1000 customers reputed company our existing reputed company Cloud relationships. The opportunity in this space is reputed company. The US reputed company salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. reputed company the range, individual pay is determined by work location and additional factors, including job-reputed company 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 reputed company salary only, and do not include bonus, equity, or benefits. Learn more about benefits at reputed company.

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources reputed company relevant tools (e.g., SQL, R, Python). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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