Your primary focus will be (a) designing, building, testing, integrating, managing, and optimizing data from a variety of sources (b) build free-flowing data pipelines by combining a variety of big data technologies that enable real-time analytics by writing complex queries to ensure that data is easily accessible (c) developing predictive models from transformed data to the production environment, and (d) developing automated processes to measure online user behavior. As a part of your day to day you will collaborate across all areas of the organization. In particular, you will liaise with our Platform Services group, understanding our existing infrastructure and seeking to optimize where practical.
Hotel Engine, a startup based in Denver, is a leader in travel tech with a demonstrated track record of growth and impact. Our foundations are strong, and we’ve navigated the COVID-19 crisis by bringing our customer obsession, innovative platform, data-driven problem-solving, and bias for action into every decision. By partnering with tens of thousands of businesses and government agencies and hundreds of thousands of hotels around the world, we
The Data Science team is charged with creating an environment at DAT where data is treated as a critical business asset. Our Data Scientists are part of the Data Science team and report to the Data Science Manager.
Our Data Scientists are responsible for working with internal stakeholders to address a wide variety of data objectives – from traditional business intelligence to aid in the development of sophisticated models to be part of our
DISQO is changing the way that the world’s largest brands, agencies and consumer intelligence companies get to know their consumers. We’ve built the first identity-based platform that combines consumer attitudes and behaviors together to power the most accurate and predictive insights solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies.
The Data Science team lies at the foundation of Zoom’s success - you'll be working cross-functionally with teams of engineers, scientists, marketers, and product professionals on some of the most critical projects in the company - whether it's exploratory research to predict user behavior, or running experiments to optimize untapped areas of growth, or developing machine learning models that deliver “happiness” to our users more consistently and at scale. If you are passionate about data engineering and looking to join a fun and fast-moving team, we’d love to meet you! Our team is taking Zoom's data culture to the next level by integrating predictive models into our infrastructure, and we are looking for someone like you to help us get there! This role is based in Pittsburgh or Phoenix.
Change is Coming.es.
At HIMSS, we’re committed to building a world where everyone, everywhere has access to care that works. A world where a better future for healthcare means leveraging the power of information and technology—and celebrating those who make change possible.
To get there, we’re creating an environment where you have the support, tools and resources that inspire the kind of groundbreaking thinking that will bring
Analytics is central to Vertafore's vision of the future, and data scientists are a critical component of cutting-edge product innovation and research. As a data scientist at Vertafore, you will be responsible for finding signals in complex and industry-unique data sets, developing innovative data science models, and building the foundation of Vertafore's data science team.
Delve Deeper! Join one of Inc 5000’s fastest-growing companies as a Data Scientist. DELVE is an analytics-first media consultancy and top-rated Google Marketing Platform, Google Cloud Platform, TheTrade Desk, Amazon AWS partner and reseller that provides strategy, insights, execution, and optimization of customer data to improve digital media ROI. DELVE aims to help emerging Challenger brands achieve their goals in Digital Marketing through the
We are looking for a highly talented and motivated Data Scientist. We are looking for someone who is versatile, methodical, excited by modern technology and enjoys focusing on tackling software challenges. Does that sound like you?
Pinnacol Assurance does just one thing, and does it better than anyone: provide caring workers’ compensation protection to Colorado employers and employees. Although employers are required by law to provide Worker’s Comp insurance, we believe our service is making a meaningful impact in worker’s lives across Colorado in their moments of need.
As a Senior Data Scientist for Product at CircleCI, you will:
Be a thought leader in using data to improve CI/CD practices
Build and deploy models supporting product features that help 100,000+ developers ship code faster
Coach a team of mid-to-senior-level product analysts to improve data-science skills
Build company-wide practices to enable model discovery, deployment, monitoring, and governance
About Product’s Data Science and Analytics team
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to launch new machine learning products and improve the predictive features in our core platform.