6 senior data scientist jobs found

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this link. Senior Product Data Scientist, Mozilla Corporation, San Francisco, California: Design and analyze experiments to understand ecosystems, user behaviors, and long-term trends. Build key data sets to empower operational and exploratory analysis. Advocate for standard methodologies across the organization. Own the definition, evaluation, and reporting of key product metrics. Communicate narratives with data to many audiences, ranging from product managers to technical leads. Sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy. Must have a Bachelor's in Analytics or related field and two years of experience in: (i) performing data analysis and modeling; (ii) applying statistical methods to large...

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.  Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent, regardless of location, culture or background.   As a Talent Scientist, you will work closely with...

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.  Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent, regardless of location, culture or background.  We have two open manager level positions that will...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. We are building the first collaborative & open-source Quality Assurance platform for all ML models . We already empower customers with two solutions: 1. The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . 2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components, and ML...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models . We are building the first collaborative & open-source Quality Assurance platform for *all* ML models . We already empower customers with two solutions: The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . The Giskard server helps ML Engineers debug & compare models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing...

The GitLab  DevSecOps platform  empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the  world’s largest all-remote companies  with 2,000+ team members and  values  that foster a culture where people embrace the belief that everyone can contribute. Learn more about  Life at GitLab . An overview of this role Are you a seasoned backend engineer with a passion for AI? GitLab has an exciting opportunity for you! Join our remote team working on GitLab Duo Chat, a cutting-edge AI feature. Your main challenge: enhance AI capabilities, add tools, and ensure a robust system. We're an agile, collaborative team, interacting with backend engineers, data scientists, and product managers. Success is measured by your code quality and contributions to GitLab Duo Chat. This role offers a chance to shape the future of AI chat tech. If you have skills in Ruby on Rails, Python, AI tech, and GitLab Duo Chat experience, plus extras like GraphQL and...