We are seeking a highly analytical and creative individual to help us understand our customers and our business through data. You will have the opportunity to dig into data to better understand how customers use our product, and you will work closely with teams across the company to build your findings into automated models and reports that improve our product and internal operations.
We are a small, fast-moving team that supports high-impact company initiatives and projects that inform business strategy. We’re looking for someone who thrives in a fast-paced environment, excels at tackling ambiguous problems with logical and structured thinking, and is eager to learn and apply new techniques to solve whatever challenges arise. If you are excited about using your quantitative and data expertise to help support informed and confident decisions, join us to have an immediate impact on a fast-growing team.
As the principal individual contributor to data-driven insights at Karat, you would drive innovation in our understanding of multiple aspects of our business. Working on the internal tools and data engineering team you will help shape the future of how our company ingests, analyzes, and talks about data.
As a Data Scientist, you’ll use your full toolkit - statistical modeling, machine learning, data mining, data visualization, and software engineering - to develop data products and models that are used by millions of users and power the growth of our business. You will collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace. Data scientists will work on how to formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates
As the Data Scientist on the Experience Research Team you will bring the power of our data to Qualtrics, itself. You will help analyze our own product data to build and grow a deeply impactful XM product line and platform. The analytics you deliver will strategically advance how Qualtrics ideates, builds, measures, and improves its own products. You will use your quantitative skills to analyze...
As the Sr. Data Scientist on the Experience Research Team you will bring the power of our data to Qualtrics, itself. You will help analyze our own product data to build and grow a deeply impactful XM product line and platform. The analytics you deliver will strategically advance how Qualtrics ideates, builds, measures, and improves its own products. You will use your quantitative skills to analyze disparate customer feedback data sources (e.g., NPS, Social Media, Call/Case Volumes, Product feedback) to present comprehensive views of customer experience. You will continue to build models and look for opportunities to leverage EX, BX and PX data as we build XM.
We are looking for an exceptional marketing data scientist to join our diverse set of researchers, analysts and machine learning engineers. These are true product management roles that guide development of our products, shape the future of advertising and help marketers and agencies to connect with their audiences.
Data is the foundation of our business in [email protected] We are looking for a Senior Data Scientist to join our centralized data science team that supports multiple products and teams at Unity. As a Senior member of our team, you will be responsible for understanding and analyzing large volumes of data and developing models to solve business and user problems across Unity. Our team develops and implements machine learning models to production and intuitively makes decisions around what approaches to take in solving hard problems.
OfferUp is looking for a Principal Data Scientist to join our team.
We seek to delight our users with the safest, simplest and most effective local marketplace app on the planet. Your role as a Data Scientist will be to help OfferUp use the most cutting edge technology to maintain its market lead in customer trust and product enthusiasm.
OfferUp is a startup. Applicants are expected to understand the business and contribute their ideas and manage many of their own data extractions and data transforms.
We need a highly capable Data Scientist who will use Machine Learning and Advanced Statistical Techniques to help forecast our complex and growing business. This role will be partnering with our finance team to develop advanced forecasting and anomaly detection models and deploy them in production. You will create and update models in a constantly changing environment of the corporate travel industry. Solve a broad range of high-impact, complex problems using some of the latest Data Science techniques. You posses excellent communication and relationship building skills from stakeholders up to executive level. This role represents an exciting opportunity to join Egencia, the fast-growing leader in the B2B travel space.
As a Data Scientist within PI, you will work with a dynamic teams of product managers and engineers across multiple organizations to deliver sophisticated, next-gen AI Machine Learning solutions. Your vigorous STEM training and problem-solving skills are particularly important for this job function. You will contribute and make our young team become the industry-leading center of excellence for eCommerce AI and Automation.
The mission of the Data Science team is to accelerate the success of our internal and external customers through trustworthy data analysis and experimentation. As a member of the team, you will be on the ground floor, working directly with the VP of Data Science to define and implement our strategy for delivering data products. You will be responsible for delivering models, data-driven functionality, and end-user features based on these models that will be deployed into production, as well as analyzing the data to produce actionable insights.
Work closely with engineers throughout the development cycle to reproduce the small and large customer environments under which the ExtraHop system is run.
Employ a mix of manual and automated data analysis techniques to collect data and analyze the operational environment of the ExtraHop system.
Generate gigabits of network traffic on over-the-counter Intel hardware with OSS systems and networking tools for performance benchmarking of the ExtraHop system.
Install, run, and benchmark emerging products and tools in a lab environment to provide product development and product management strategic data.