Noteable is a collaborative data notebook that enables data-driven teams to use and visualize data, together. Its Python notebook foundation with built-in SQL, no-code visualizations, and plug-and-play workflows empower everyone – from the data curious to data experts – to work together in the same interface. Noteable is built for businesses by the experts behind the most successful enterprise-grade and open-source notebook initiatives.
Collaborate with our product team to determine feasible approaches for delivering new features to our customers. Write and review code changes to our backend services that are built with FastAPI, SQLAlchemy, pytest, and other popular Python tools. Expand our product’s data connection support by helping implement new integrations with popular data stores.
Adopting the product design for the new Notebook UX to develop components that enable the desired capabilities. Tracing the reason for errors commonly occurring in a region of the page and identity plus reworking the code architecture to prevent similar hidden issues.
CVS Health is America’s leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart. We employ thousands of data scientists and engineers who support the broader organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems.
As a Data Scientist, you will develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions. You will also explore, examine and interpret large volumes of data in various forms.
As a Senior Data Scientist, your role will entail: • Developing, prototyping, and refining robust and scalable machine learning and optimization solutions to business problems in support of the CVS Health Supply Chain. • Seeing projects through from inception to production.
As a Lead Data Scientist, your role will entail, Developing complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Performs analyses of structured and unstructured data to solve multiple and complex business problems.
Develop scalable and reliable cloud-native solutions by following the architecture and dev ops best practices to support reusable, extensible, configurable components to deploy data products for business and analytics use cases for real-time and batch use cases. • Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful
As a Senior Data Engineer in the Analytics and Behavior Change group, You will be working on the Deployment and Experimentation platform to deliver personalized nudges to improve member health and encourage healthy actions. You will Lead and participate in the design, build and management of large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows.
As a member of the Data and Analytics organization, you will be responsible for building and delivering best-in-class clinical data initiatives aimed at driving best-in-class solutions. You will collaborate with analytic partners and business partners from product strategy, program management, IT, data strategy, and predictive analytics teams to develop effective solutions for our partners.
Quansight is seeking an innovative Principal Open Source Solutions with leadership experience and a strong understanding of the PyData ecosystem to join our team. Responsibilities include managing and growing Quansight’s technical consulting business in a target domain.
We are looking for an enthusiastic and highly-motivated software engineer with an interest and experience in numerical and high-performance computing to join the Quansight team.
We are looking for enthusiastic and highly motivated Software Engineers with solid DevOps experience to help support Quansight’s growing cloud and on-prem infrastructure as well as act as a support resource for internal and client hosted systems.
This is an open hiring call for candidates who are already heavily invested in contributing to the PyData open source ecosystem and are looking for a company that can support their passion.
Build the natural-language platform at Ntropy to understand bank transactions in the context of the real world in under 100ms, with super-human accuracy and reliability.
Build the data science platform at Ntropy to extract patterns from billions of bank transactions per month.
Responsible for many aspects of data quality, including finding errors and inconsistencies in existing datasets, triaging customers’ feedback, and helping the whole engineering team find and resolve data issues of various origins.
Build powerful vertical applications on top of the core Ntropy API to maximize value and reduce integration time for our customers.
Develop the high-throughput, low-latency transaction processing pipeline at Ntropy, including maintenance of a large number of heavy NLP models, integration with search engines, scrapers, databases and multi-region caches.
Cubist Systematic Strategies is the systematic investing business of Point72. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes. The core of our effort is rigorous research into a wide range of market anomalies, driven by our passion to understand the world around us and fueled by unparalleled access to a wide range of publicly available data sources.
Experienced quantitative developer who will be one of the senior leads of the newly formed Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products. This is a unique opportunity to design and build the next generation of research and quant trading systems for Cubist.
Quantitative developer who will join the newly formed Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products. This is a unique opportunity to grow your career with the team while building the next generation of research and quant trading systems for Cubist.
Software developer who will be actively engaged in developing, maintaining, and enhancing the firm’s internal Algorithmic Execution Platform, and integrating this platform into research infrastructure. Candidate should be comfortable writing low-level, multi-threaded C++ code and Python code.
Be a key member of the Anaconda Custom Services team, solving problems for our clients using tools from the Python open-source ecosystem Maintain and extend open-source tools, particularly the HoloViz.org visualization libraries, as part of the HoloViz team Translate business requirements to software architecture and technical implementation Write public-facing technical documentation and examples
Analyze, fix, and test vulnerabilities in Python packages Keep track of vulnerabilities in Enterprise Python package releases as they are discovered, researched and fixed (using internal software tools) Collaborate with other teams in the Python community and with upstream developers where appropriate, to exchange or develop vulnerability patches, and to ensure that Enterprise Python includes the
Provide your technical expertise to guide our Package Building and CI/CD Automation teams to create effective and scalable automation. Design technical solutions to accomplish high level business goals Seek internal customer feedback on existing tool needs and use that to create strategy and technical architectures for the organization. Design and implement technical strategies for improving our p
Own the portfolio strategy for our online practitioner tools, including Anaconda Notebooks Research and define our product offering’s features, pricing, and positioning Collaborate with product marketing to drive a consistent go to market strategy, that regularly engages users throughout their journey Regularly analyzes MAU and conversion metrics to ensure we’re hitting our company targets Collabo
Shopify is the leading omni-channel commerce platform. Merchants use Shopify to design, set up, and manage their stores across multiple sales channels, including mobile, web, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides merchants with a powerful back-office and a single view of their business, from payments to shipping. The Shopify platform was engineered for reliability and scale, making enterprise-level technology available to businesses of all sizes. Headquartered in Ottawa, Canada, Shopify currently powers over 1,000,000 businesses in approximately 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more.
Senior Data Engineers use their expertise to multiply the overall output of their group. You and the team will empower all teams at Shopify to build data platform applications. Data Scientists depend on the work you do to get their job done. You will maintain a high bar for quality and mentor other engineers. And of course, you will be hands-on in the code and contribute technically.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for seasoned and talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
The Data Science organization has evolved into one of the most influential & impactful entities within Shopify. As one of the inaugural teams, the data sci. team focussed on our Money product helped define what was possible when merchant data was used to solve one of the most pressing problems faced by entrepreneurs–access to capital. The Director of Data Sci., will take this to the next stage.
We are looking for hands-on, experienced and seasoned Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
The mission of the Build team is to provide tooling, capabilities & infrastructure to make all commerce developers highly productive and to enable them to solve problems for merchants globally. The Sr. Data Sci. Manager will own projects whose scope impacts multiple disciplines & domains at Shopify.