https://boards.greenhouse.io/civisanalytics/#.Wo82lRPwbOQ
Civis Analytics helps organizations use data to gain a competitive advantage in how they identify, attract, and engage their audiences. With a powerful combination of best-in-class data, cutting-edge software solutions, and an interdisciplinary team of data scientists, developers, and survey science experts, Civis works with leading public and private sector organizations to make data-driven decision-making essential to how they do business. Learn more about Civis at www.civisanalytics.com.
The Data Science Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, natural language processing, visualization, and survey research. On our Chicago-based Research and Development team, you will practice modeling strategy, research design, and software engineering with data scientists on the cutting edge of the field.
You will work on collaborative projects through which you will make real contributions to the best practices that back our products and our consulting. We're looking for someone with 2+ years of experience applying state-of-the-art statistical methods and tackling computational and programming challenges in fields such as machine learning, applied statistics, natural language processing and computer vision.The Data Science Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power our company’s mission. We work on projects like predicting national-level consumer behavior, measuring the incremental causal impact of campaign ads, running large-scale constrained resource allocations, and building generalizable predictive and prescriptive analytics software. Our applied data scientists then use the tools we build for diverse projects ranging from finding American citizens without health insurance to optimizing millions of dollars of media spending. As a data scientist on our Chicago-based Research and Development team, you will collaborate on modeling strategy, research design, and software engineering with data scientists on the cutting edge of the field.
We’re looking for a data scientist to work on the Media Attribution and Optimization arm of our Data Science Research and Development team. We are particularly interested in individuals with a background in optimization and marketing (media mix modeling and multi-touch attribution). Whether you’re still in the early stages of your career and looking for new professional growth opportunities or you’re looking to apply your considerable domain expertise, you can make a significant contribution to our product and consulting offerings.Do you have a passion for automation, building high performance technology, and sweating the details? Civis Analytics is looking for a DevOps Engineer to join our team!
At Civis Analytics, we're building a data science platform, making cutting-edge machine learning and predictive modeling techniques available to a broad audience. The DevOps team delivers, maintains, and evolves the infrastructure that makes all of this possible. As a DevOps Engineer, you will be a key player, helping us create scalable infrastructure-as-code using cutting edge tools. You should have networking and security experience, be familiar with cloud infrastructure, and DevOps best practices.The Lead Data Engineer, reporting to the VP of Engineering, provides technical, strategic, and operational leadership to the organization. This is an experienced leader with a passion for building compelling customer experiences and a proven ability to grow and lead a team of talented engineers through research, design, development, testing, and launch of high-quality data-driven products. The person in this role has the opportunity to have a very large impact on the organization.
In this role, you’ll be responsible for design, implementation, and production support of data-driven products and the infrastructure required by those products. You will play a role in every stage of development, working with product managers to identify client needs, formulating a high-level technical strategy, leading the development process, and providing ongoing support. This is a highly collaborative role, frequently partnering with other teams at Civis. You will help Civis Analytics build great products, with a particular focus on the data pipelines that support them.Senior Software Engineers at Civis amplify the contributions of their colleagues by leading engineering teams or tackling our hardest, riskiest, or most complex technical projects. Depending on interest, roles for senior engineers may focus on team leadership or individual contribution; either way we’re looking for judgment, ownership, and autonomy. At Civis, you will be responsible for making good choices about technical questions, and also about what technical projects are worth pursuing. You will play an outsized role in making Civis a great place to build great software products.
The D. E. Shaw group is trusted by investors across the world to manage their assets by seeking the optimal balance of risk and reward. We use a combination of quantitative and qualitative tools to uncover independent, hard-to-find sources of return across global public and private markets.
Founded in 1988 over a small bookstore in downtown New York City, the D. E. Shaw group began with six employees and $28 million in capital and quickly became a pioneer in computational finance. In the early days of exposed pipes and extension cords, tripping on a cable could take out our whole trading system. Today, the firm has more than 1,200 people around the globe and an institutional-grade (and trip-proof) infrastructure, but we still value creativity, entrepreneurship, and the spirit of discovery.
Machine learning researchers at D. E. Shaw create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including in particular deep learning and statistical learning, are potentially relevant.
What you’ll do day-to-day: Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications.
Who we're looking for: Successful candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications. We welcome candidates from both industry and academia, and at various levels of seniority, from PhD students nearing graduation to established researchers. Broad experience across multiple fields of ML is a plus.
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. They utilize their creativity and innovation to create novel approaches to trade profitably in markets around the globe.
What you’ll do day-to-day: Specific responsibilities range from leveraging financial data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas, formulating them into systematic strategies, and critically evaluating their performance.
Who we're looking for: Successful quant candidates have traditionally been exceptionally talented students at the top of their respective statistics, 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.
Technology is integral to virtually everything the D. E. Shaw group does, which is why we seek exceptional software developers with a range of quantitative and programming abilities. Members of our technical staff collaborate on challenging problems that directly impact the firm’s continued success, utilizing their strong analytical, mathematical, and software design skills as well as some of the most advanced computing resources in the world.
What you’ll do day-to-day: Specific responsibilities may include formulating statistical models for our computerized trading strategies, developing distributed systems to analyze and react to incoming data in real time, and creating tools for advanced mathematical modeling.
Who we're looking for: Successful developer candidates have traditionally been the top students in their programs and have extensive software development experience. We welcome outstanding candidates at all experience levels.
The goal of our summer internship program is to expose talented individuals to the projects and environment associated with full-time work in quantitative analysis and software development at the D. E. Shaw group. Interns interact with various trading groups and gain valuable work experience while demonstrating their skills on a variety of real-world projects. Working closely with quants, developers, and other senior staff as mentors, interns can expect an environment conducive to learning. In addition, numerous social events give interns the opportunity to interact with colleagues and learn about the firm as a whole.
What you’ll do day-to-day: For quantitative analyst interns, projects might include applying sophisticated numerical techniques and writing software to develop and analyze statistical models for our computerized financial trading strategies, or researching financial literature to identify new trading ideas and creating simulations to test them. Software development interns work closely with full-time employees to build tools for the analysis of financial instruments as well as to design and deploy real-time, scalable applications for the firm's highly automated trading activities.
Who we're looking for: Successful candidates have traditionally been the top students in their respective math, physics, engineering, computer science, and other technical and quantitative programs.
The goal of our summer internship program is to expose talented candidates to the projects and environment associated with full-time work in quantitative analysis and software development at the D. E. Shaw group. Interns interact with various trading groups and gain valuable work experience while demonstrating their skills on a variety of real-world projects. Working closely with quants, developers, and other senior staff as mentors, interns can expect an environment conducive to learning. In addition, numerous social events give interns the opportunity to interact with colleagues and learn about the firm as a whole.
What you’ll do day-to-day: For quantitative analyst interns, projects might include applying sophisticated numerical techniques and writing software to develop and analyze statistical models for our computerized financial trading strategies, or researching financial literature to identify new trading ideas and creating simulations to test them. Software development interns work closely with full-time employees to build tools for the analysis of financial instruments as well as to design and deploy real-time, scalable applications for the firm's highly automated trading activities.
Who we're looking for: Successful candidates have traditionally been the top students in their respective math, physics, engineering, computer science, and other technical and quantitative programs.
https://www.twosigma.com/careers/
Two Sigma is a different kind of investment manager. We view the world through a technology lens. We hire scientists, software engineers and academics who tackle the world’s most challenging financial problems. We look for solutions grounded in data science and research, and powered by technology. And we are finding ways for our platform to reshape new industries, from insurance and securities to private investments and venture-backed startups. Come seek with us.
Flatiron Health is the leading tech company in the fight against cancer. We are currently hiring for the following jobs. Come help us
We have openings for engineers across multiple product lines, technology stacks, and experience levels. We welcome full-stack engineers, passionate backend engineers, engineers that are enthusiastic about data, aspiring architects, and emerging engineering leaders.
We are looking to hire Senior Data Insights Engineers who can add thought leadership to the team and help move the needle on big, complex initiatives and new, greenfield projects.
We are looking for team members who are excited to make an immediate impact in a critical space. This position requires outstanding problem-solving, analytical and communication skills; experience with multitasking and prioritizing; and the tenacity to execute against deliverables in a timely, high-quality fashion.
Our product management team is looking for people who are excited about building software that improves cancer care. This job requires a sharp analytical mind, an entrepreneurial spirit, and a passion for taking on some of the most complex challenges of our time.
https://www.shopify.ca/careers
Shopify is the leading cloud-based, multi-channel commerce platform designed for small and medium-sized businesses. Merchants can use the software to design, set up, and manage their stores across multiple sales channels, including web, mobile, 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. 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 600,000 businesses in approximately 175 countries and is trusted by brands such as Tesla, Nestle, Rebecca Minkoff, Kylie Cosmetics, and many more.
We are looking for a Lead Data Scientist to own the data strategy and integration around Shipping. Working closely with the product team, you and your team will help to drive optimization in this area through the development of machine learning models that are scaled across our 600,000+ merchants. Improving the shipping rate strategy for merchants and their customers will be one of many ways that your team makes an impact at Shopify.
We are looking for a Senior Data Scientist for the Shopify Plus team. Working closely with the team, you will help us drive optimization in this area through the development of machine learning models that are scaled across our enterprise merchants.
We’ve still got a lot of work to do and that’s where you can help! The challenges include building out our deployment tools to provide blue/green and zero downtime deploys for our services; work with Google’s Beyondcorp security model to continue to serve our data in a secure and auditable way without adding too much overhead; build up our next generation streaming low-latency pipeline to make the data we provide even more useful and timely. We’re looking for software engineers that are interested in collaborating on these challenges with an SRE mindset and deploying platform services on a very large scale. You’ll need a curiosity of how our systems work under the hood and how we can leverage them for building a data platform to truly help and grow the hundreds of thousands of entrepreneurs on Shopify’s platform.
New York - The Shopify Marketing mandate is to acquire as many successful entrepreneurs as possible, while ensuring they have fulfilling experiences and are growing their businesses with the right products and services. You will use your experience in digital analytics, along with your ability to work with information from multiple sources, to identify trends and strategic opportunities. Your efforts will contribute to the overall goal of improving Shopify’s online experience.
https://www.farfetch.com/careers#10013
The Farfetch Group consists of Farfetch.com, Farfetch Black & White, Store of The Future and Browns (including Brownsfashion.com).
Founded by Portuguese entrepreneur José Neves in 2007 for the love of fashion and launched in 2008, Farfetch was launched as an e-commerce marketplace for luxury boutiques around the world. Farfetch has since evolved into a technology platform for the luxury industry, connecting customers in 190 countries with items from over 930 of the world’s best boutiques and brands from over 45 countries. Farfetch ensures a truly unique experience with the ability to shop the most extensive selection of luxury on one platform.
Farfetch is a true global omni-channel platform with the proprietary end-to- end API at the core of an unrivalled technology and logistics network. Through its business units Store of the Future, Farfetch Black & White and Browns, Farfetch continues to invest in innovation and develop key technologies, business solutions and services for the luxury fashion industry, connecting online and offline retail. Store of The Future is a customized suite of technologies developed to help brands and boutiques enhance the customer journey by bridging the offline and online worlds.