SciPy Sponsor Job Listings
One of the goals of the SciPy Conference is to connect the individuals in the SciPy community with organizations that are looking for the best and brightest scientific Python talent. To do so, we offer our gold and platinum sponsors for the 2015 conference the opportunity to post their job listings on our SciPy Conference website. In addition, gold and platinum sponsors will be able to participate in the conference job fair during the annual reception and will have the opportunity to have a table outside of the main ballroom for the duration of the general conference. Learn more about sponsoring SciPy 2015 HERE.
The Software Developer at Enthought, Inc. participates in the development of scientific and technical applications involving GUIs, 2D and 3D graphics, workflow and pipeline architecture, and numerical algorithms for our proprietary products and for customer applications. We currently have openings in Austin (USA) and Cambridge (UK). Some travel may be required.
We are interested both in experienced applicants as well as in recent graduates. Applicants should have a BS, MS, or PhD degree with a strong background in science and mathematics, as well as real experience developing quality software, either commercial or open source. More experienced applicants should also have demonstrated project management skills and the ability to lead a team of strong developers with highly technical backgrounds.
Desired Skills and Capabilities:
(Required) Bachelor's Degree in Computer Science or other scientific or engineering field with preferably an M.S. or Ph.D. degree.
(Required) Minimum 2 years of technical lead or development experience with 4 or more years preferred.
Ability to understand a problem domain and then conceive of and implement an intuitive user interface geared toward the scientist or engineer user.
Discipline, pride, and professionalism to write readable, documented, and unit-tested code that serves as an example to those who study your work
Strong work ethic and commitment to satisfying the customer.
Experience with Python, and a strong understanding of how to apply its capabilities to develop GUIs, work flow frameworks, and elegant scientific applications.
Strong understanding of statistics, optimization, image processing, signal processing, or other similar area.
Enthought seeks a talented Python instructor with a passion for learning and teaching and solid experience in using Python for scientific computing / data science applications. You’ll be based out of our downtown Austin office and you’ll also travel to great cities to teach Python to scientists, engineers, analysts, and data scientists across a range of industries.
Reporting to the VP of Training Solutions, the Python Technical Trainer must be diligent, organized, versatile, and collaborative. Mandatory job requirements include:
Bachelor’s degree or higher in a related area of computer science, mathematics, engineering, or science
2+ years of experience using Python for scientific computing (e.g., analysis, engineering, science, modeling, data science)
2+ years of teaching experience (e.g., trainer, college / university instructor or teaching assistant, or other)
Strong organizational & project management skills
Excellent written and oral communication skills
Must be willing and able to travel regularly (up to 2-3 weeks per month on average) to teach Python workshops in the U.S. and/or internationally
Key Job Responsibilities:
Teach live workshops on Python for scientific computing / data science (up to 2-3 weeks per month on average) across the U.S. and/or internationally
When in Austin, work with VP of training to update and maintain training course materials on a regular schedule
Work with VP of training to maintain and enhance training tools, processes, and infrastructure
Do you love solving gnarly tech problems? Are you a born tinkerer? Do you swoon and scowl over Python in its dynamically-typed glory?
About the position
Enthought, Inc. is seeking applicants for a Software Technical Support Engineer position at our headquarters in Austin, TX. This position is part of our customer support team, assisting end users of our software products, who are themselves engineers and developers. Here are just a few things that you’ll get to do: verify bugs and work with our development teams on delivering fixes, help customers with product usage, directly influence product direction through evaluating user feedback, and improve the internal support infrastructure to handle our growing customer and product base. The successful candidate will need to dive deep into our product stack and become knowledgeable about many open source software projects, particularly in the Python ecosystem.
More about you
You’re a sociable nerd -- curious, energetic, humorous, tough, patient, and business-aware. You have a solid knowledge of operating systems (Linux, OS X and/or Windows), some software development experience (Python preferred), and experience troubleshooting software -- bonus points for experience with Enthought/Python products. Considering our client base and the job requirements, those with advanced degrees are encouraged to apply, though qualified candidates with a software-oriented BS will be considered. With those great technical skills, it stands to reason that you are also a top-notch writer and technical conversationalist. To give you an idea of the range of backgrounds currently on our technical support team: one member is an experienced software developer and former sleep researcher; the other has a doctorate in nuclear engineering and is training on the job to become a developer.
Room to grow
If you’re interested in working in a software development environment and potentially transitioning into a developer role, this position provides a great opportunity.
How To Apply
Enthought is an equal opportunity employer. Please submit your resume and cover letter to email@example.com or stop by our table to speak with one of our team members.
AQR Research and Portfolio Management is seeking quantitative software developers. Our developers are responsible for building the core systems that drive the quantitative strategy research and portfolio implementation that powers AQR. Our development teams are small, motivated, and highly productive. Working side by side with the researchers and portfolio analysts, you will become intimately familiar with the investment philosophy which drives AQR.
We believe that the next innovation to transform our business could come from anyone at AQR. Expect to be recognized not only for your diligence and hard work today, but for your vision for tomorrow. We are mathematicians, computer scientists, physicists, and engineers passionate about advancing financial research and pushing the limits of today’s technology.
As a quantitative developer, you will build or extend our:
proprietary portfolio construction and optimization engines
computing grid enabling intensive simulations and broad data analysis
dependency-aware production workflow graph database
global asset risk estimation system incorporating millions of data points
intuitive research APIs leveraging cutting edge techniques and visualizations
high-performance data collection, transformation, and analysis systems
To apply, please email us at firstname.lastname@example.org. Be sure to include SciPy 2015 in the subject line.
We are an affirmative action/equal opportunity employer.
Quants at the D. E. Shaw group apply mathematical techniques and write software to develop, analyze, and implement statistical models for our computerized financial trading strategies. Keen insight and innovation are imperative for creating solutions for trading profitably in markets around the globe. Specific responsibilities range from examining trading data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas and devising the simulations needed to test them. Successful quant candidates have traditionally been exceptionally talented students at the top of their respective math, physics, engineering, and computer science programs; a considerable number have also competed successfully in the United States and International Math Olympiads as well as the Putnam Competition. Members of our highly versatile technical staff possess the wide range of quantitative and programming abilities necessary to tackle challenging problems that are critical to the firm's continued success.
The D. E. Shaw group brings together some of the best minds in computer science, mathematics, physics, and engineering to work at the intersection of finance and technology. Members of our versatile technical staff exhibit a range of strong quantitative and programming abilities, with software developers and quantitative analysts collaborating on challenging problems that directly impact the firm's continued success.
Quality and innovation are imperative for creating computationally-intensive solutions for trading profitably in markets around the globe. Developers bring strong analytical, mathematical, and software design skills to a variety of projects, including the formulation of statistical models for our computerized trading strategies, distributed system development, real-time data analysis, and the creation of tools for advanced mathematical modeling. Technology is an integral part of virtually everything we do and our team enjoys access to some of the most advanced computing resources in the world. Successful candidates have traditionally been the top students in their programs and have extensive software development experience. We welcome outstanding candidates at all experience levels.
Jump Trading has been at the forefront of quantitative trading since its founding 15 years ago. We pride ourselves on being an industry leader that quietly sets the standard for sophisticated trading strategies. With a strong track record of success through all market conditions, the firm has grown to over 450 people with offices located in Chicago, New York, London, and Singapore.
At Jump, we enjoy a casual workplace atmosphere and a flat organizational structure. You will enjoy the upsides of a startup, but have the stability of an established company. Our founders not only encourage, but expect employees to explore new ideas and develop innovative solutions.
We are looking for brilliant, motivated, and intellectually-curious individuals with backgrounds in programming, mathematics or quantitative analysis to join our elite teams:
TRADING – devise and implement new strategies by collaborating with extraordinary researchers from diverse technical and quantitative disciplines
CORE TECHNOLOGY – cooperate on the unparalleled infrastructure that is the backbone of our research platform and powers our high-speed trading on more than 60 exchanges
QUALITY ASSURANCE – validate components of the trading system using deep functional knowledge and progressively-developed tools in order to ensure a high-quality production environment
QUANT SUPPORT/RESEARCH ENGINEERING – team up with physicists, mathematicians, and the Linux gurus responsible for our high performance computing environment to develop large-scale, distributed, research solutions
R&D – innovate in the high performance computing space and perform exploratory research on the cutting edge of low latency technologies
VENDOR DATA – collaborate with experienced data scientists to identify fluctuations and uncover opportunities in raw data
What we are looking for:
MS/PhD degree in hard sciences (Statistics/Math, Computer Science, Engineering, Physics)
Solid fundamentals on machine learning, predictive modeling and statistical techniques
Fluent in Python / R with ability to learn new programming languages quickly
Experience with Hadoop related technologies (MapReduce, Pig, Hive, Storm, Spark)
Experience with SQL and noSQL databases
Experience with large datasets
Strong analytical and communication (presentation and writing) skills
Please send your resume and salary requirement to email@example.com
Be a Research Engineer within the Moore-Sloan Data Science Environment. As a Research Engineer at NYU, you will help to promote open and reproducible research, as well as work on a data science open source project of your choice. Strong candidates will be able to contribute to tools for visualization, data processing, statistics, databases or machine learning. Other administrative and faculty positions are available. cds.nyu.edu/opportunities