Embedded Consultant --- Python developer
Location: US, NY, New York City
Department: NYC
Employment type: Full-time
Required experience: Associate
Required education: Bachelor's Degree
Industry: Computer Software
Function: Engineering
Company profile: Our MissionWe are revolutionizing how the world's data is stored, computed, and visualized. We provide domain experts with flexible tools that allow them to explore their data and maximize the impact of their insights. We help empower work-groups and businesses by recognizing that data analysis is a collaborative, exploratory activity.Our VisionWe provide open technologies for Data Integration on a massive scale, based on our vision of a structured, universal "data web". In the same way that URL, HTML, and HTTP form the basis of the World Wide Web for documents, our technologies are becomming the fabric for structured and numerical data and are spearheading innovations in data management, analytics, and distributed computation.Our Areas of FocusOur company provides software tools, training, and integration/consulting services to corporate, government, and educational clients worldwide. Areas of expertise include finance, statistical inference, geophysics, business and marketing analytics, and the growing category of data science.Our BackgroundHeadquartered in Austin, Texas with offices in New York City, Castelló, Spain and Vancouver, British Columbia, our lead developers hold advanced degrees in a variety of fields and have decades of combined development experience solving complex, real-world problems. We have focused on large-scale distributed computing, array-oriented programming frameworks, scientific computing and algorithm development, and graphics and interactive data visualization. Learn more about our development team.Our Commitment to Open SourceOur developers are key figures behind NumPy, SciPy, PyTables, SymPy, and Chaco. We are also driving the development around forward-facing open-source projects such as Conda, Numba, Bokeh, Blaze, and the growing PyData ecosystem. We seek to employ as many open-source developers as we can while still providing valuable services and technology products to the market. Read more about our views on Open Source
Description: Continuum is building a collection of tools and applications that enables quants, scientists, engineers, and other domain experts to understand their data and get the insight they want quickly.  These tools build on the success of NumPy, SciPy, Matplotlib, IPython, SymPy, and Pandas with which we have been intimately involved for decades.    We are looking for accomplished scientists and engineers interested in a customer-facing software consultancy role that could lead to full time placement with a customer at the conclusion of a project. The more experienced candidate will have a strong technical background with 4+ years Python and C/C++ development experience and 2+ years experience with NumPy or the equivalent. Depending on your skills, you will work on one of our core products or technologies, including our next-generation data management products which will push Python and its vectorized enhancements such as NumPy into general use in big data analytics. For the right person(s) with strong technical and customer-facing skills but less prior exposure to Python, C/C++, NumPy, and related, we may offer concentrated training and mentoring to fully prepare you for this role. Most positions are NYC based.Bonus skills & experience: Distributed databases, parallel computation, KDB+, GPU, UI, Gemstone, OLAP/MDX, LLVM.
Requirements: Engineering, Science, or Computer Science B.S. degree (or equivalent experience)2+ years Python1+ years NumPy or PandasSystems level understanding of Linux or Windows
Benefits: Continuum Analytics is an emerging startup that provides excellent benefits including full dental and medical benefits.   You get to work on interesting and impactful projects at Continuum that will improve your marketability and give you exposure to clients, ideas, and opportunities that will enhance your career.
Fraudulent: 0