We're a young SaaS company that helps retailers optimize their pricing based on their competition. We are hiring data engineers to help grow our developer team, add more features and refine our data pipeline (from web scraping, to machine learning for analysis, to beautiful d3.js charts for customers)
Our stack is open source friendly and modern: Python, MongoDB, Elasticsearch, Docker, AWS, Vue.js ; We are also maintaining a couple relatively popular Python modules on GitHub.
We are looking for generalist Python developers that want to dive deep into data and join a fast-growing startup. French-speaking candidates will be preferred.
We're a young SaaS company that helps retailers optimize their pricing based on their competition. We are hiring data engineers to help grow our developer team, add more features and refine our data pipeline (from web scraping, to machine learning for analysis, to beautiful d3.js charts for customers)
Our stack is open source friendly and modern: Python, MongoDB, Elasticsearch, Docker, AWS, Vue.js ; We are also maintaining a couple relatively popular Python modules on GitHub.
We are looking for generalist Python developers that want to dive deep into data and join a fast-growing startup. French-speaking candidates will be preferred.
We help retailers (Groupe Casino, Groupe Auchan, Groupe Cora…) and hundreds of consumer brands (Groupe Seb, Nestlé…) to get value from their data. We provide a platform built on top of a domain ontology. This graph allows us to represent large datasets (products catalogs, retailers historical data…) into a very expressive language and develop services based upon them: semantic search engine, recommendations, advertisement… We are a dedicated and dynamic team of engineers, computer scientists and technicians passionate about statistics, machine learning and cutting-edge technologies, working closely with a business team obsessed with the product. We seek sharp and open-minded data & computer scientists.
We are the company behind WordPress.com, Jetpack, WooCommerce, and Tumblr. We are looking for an experienced Python developer to join our Data Team! The role will contribute to the development and scaling of our Machine Learning pipeline, and help our marketers and developers integrate Machine Learning into their work. This position is for a top-tier Python Engineers who have knowledge or interest in Marketing or Product Analytics, experience working with data scientists, and outstanding coding practices.
We make a software that we then sell. It's a data science platform that customers install in their internal IT, that allow various profiles from data scientists to business analysts to bring their skills to their data projects with both user-friendly interfaces and code.
Interesting problems to solve and plenty of learning opportunities.
OpenDataSoft (founded in 2011, 40 employees nowadays) is developing a SaaS platform that aims to make it very easy for anyone to create a data portal (which can be a public open data portal, a private internal data sharing space, or anything in between), and at the same time build a wide catalog of public easy-to-use data. You can see the public half of our work here (https://data.opendatasoft.com/explore/).
We're hiring:
Front-end Engineer (Senior or Junior) : help us build easy-to-use UIs to make data publishing intuitive; also help us re-build entirely our front-end stack this year (from AngularJS 1 to ...?)
Back-end Engineer (Senior or Junior) : we like to add a few 0s every year to our data processing performance metrics; help us make our Python stack faster and more resilient!
Technical Consultant : you like to hack around a platform (and talk to the R&D team about it), and to help customers become autonomous on a product (which sometimes means teaching a bit of HTML)
Being an Engineer at OpenDataSoft means being able to "drive a feature home", from the design and implementation choices to the documentation and advanced support. If you like contributing to a product and making impactful choices, we may be a great fit for you!
We may look like a startup, but we have sensible working hours, a sane growth rate, and a very very low turnover. However, we still like beer, weird jokes, and food (a lot).
We're a small 4-years-old company (21 employees at the moment, including 11 R&D engineers) building a SaaS platform to help governments and companies to share their data, ranging from the typical opendata platform to an internal sharing platform, and anything in between. Our product targets regular users, not technical users, and aims at making data publishing as easy as possible; we don't sell professional services and instead try to let our customers be as autonomous as possible with the product in a true SaaS fashion, sometimes by teaching them a few things in the process. We also try to make data exploration as easy as possible, in order to make open data reachable to any citizen or end-user.
Our stack is basically a Django (Python) project, with a data processing framework pushing stuff into Elasticsearch, which is exposed through an API allowing filtering, querying, complex aggregations, and so on. On the front-end, a lot of AngularJS hitting this API and allowing users to dynamically filter and explore datavisualizations, and an administration interface trying to solve the big challenge of making data transformation and publishing as easy as possible.
We are currently looking for:
- a front-end engineer, to work on the product's UI and data APIs (AngularJS, Python)
- a back-end engineer, to work on our data processing framework and on Elasticsearch (Python)
You can contact us directly on jobs@opendatasoft.com, even just to share a coffee and talk a bit more about what we do and what you're looking for!
admetrics | Junior and Senior Python engineers | Frankfurt, Germany | FULL-TIME, VISA | https://www.admetrics.io
admetrics is a dedicated group of software engineers, data scientists, marketing specialists and entrepeneurs working in the digital marketing field for more than a decade. We are an experienced, ambitious and cross-functional team with a flat hierarchy and an open, international culture. You will help shape data science solutions that generate actionable insights and recommendations based on enormous amounts of data in real time. Enjoy professional challenges in an exciting, innovative field, flexible work time and competitive compensation.
At Predikt (http://www.predikt.co), we have developed a technology using big data & predictive analytics to measure and make sense of the professional data spread across the web. We are growing and building products for Talent solutions and Insights.
---------
* Lead Full-stack Web & API developer with experience in Python and Django/RoR
---------
You will get the opportunity to work on our core product, engage in research and brainstormings to shape the product. You will work with our Lead Data Scientist to build an API and/or web applications that would interact with external sites or products.
##Requirements:
- 2+ years of experience in Web and building API's
- Experience in working with Python/Django or RoR
- Experience working with social web API's
- Knowlege of API deployment cloud tools (google compute engine, heroku etc)
SEEKING FREELANCER: Finance-industry startup seeks data scientist for ongoing part-time lead role.
We’re looking for an engineer with a finance background (or a finance person with an engineering background!) to help out behind the scenes at Open Exchange Rates.
Open Exchange Rates[0] is the fastest-growing currency data API on the web, loved by the likes of Etsy, Shopify, Kickstarter and thousands more.
We have a super-exciting backend engineering project involving overhauling a large part of our platform, over which you'll have complete autonomy within the requirements.
Project scope, budget and timeframe are all negotiable for the right contractor, but likely to be 2-3 months, plus ongoing work available.
--
REQUIRES:
* Python, client-side and server-side JavaScript (+PHP and PhantomJS a bonus); intermediate sysadmin skills
* Proficiency with relational and non-relational databases
* Understanding of foreign exchange markets
* Designing and implementing algorithms for financial data analysis
* Understanding of APIs, methods of online data collection, and authorisation mechanisms
* Ideally: Expert front-end development skills in HTML/CSS/JS (negotiable in project scope)
* Remote possible; UK preferred; London ideal.
* Chutzpah
--
CONTACT:
Get in touch with josscrowcroft@gmail, with a little about yourself, your work, your story and what makes you come alive. Relevant experience also appreciated.
DrivenData Labs | Software Engineer (Python) With Focus On Data Applications | Berkeley, CA | FULL-TIME, ONSITE | http://drivendata.co
-- OVERVIEW --
DrivenData brings the transformative power of data science to organizations tackling the world's biggest challenges. We run online machine learning challenges with social impact, and we work directly with mission-driven organizations to drive change through machine intelligence and analytics.
We are looking for a talented software engineer who is interested in using their job to take on tough social challenges, while growing their data acumen and building real-world applications. As a core member of a small team your role will include managing code development, brainstorming approaches to engineering problems, working closely with data science and machine learning developers, and taking an open and constructive mindset to getting things done across multiple projects. You'll work directly with data scientists that started their careers as software engineers, bringing an experienced understanding of software processes alongside opportunities to learn new quant skills, tools, and ways of approaching data applications.
-- ROLE --
This is a software developer role ideal for a Python engineer with 3-5 years of professional experience who is interested in data (possibly looking to transition into data engineering or data science). Advanced proficiency in Python and comfort with Linux a necessity. Good opportunity to learn the quant skills necessary to work in the data space. No need to have a background in math or a CS degree, but the job will involve a lot of quantitative thinking so the applicant should not be afraid of math.
Working on a small team means doing a little bit of a lot of things. We're looking for somebody who can ask the right questions to figure out what is important, iterate between brainstorming together and working independently, and exercise sound engineering judgment to make reasonable decisions under conditions of ambiguity.
Doing client-facing work involves turning uncertainty into a reasonable path forward. As a team, we value arguments for how to proceed based on evidence, and we want somebody who will present their opinion and engage in a discussion around the best way forward.
Here are some of the things you'd be doing on an ordinary day:
- Internal software development: Maintain our Django codebase for drivendata.org, fix bugs, add features, safely refactor and maintain test coverage. Develop new internal tooling and improve on existing apps.
- Client-facing software development. Build a variety of applications, generally small green-field proofs of concept. Quickly learn and adopt new technologies on demand based on client needs; a typical engagement may include at least one data technology we haven't all worked with before (e.g. Elasticsearch, Apache Storm, Cassandra).
- Light DevOps Tasks
-- REQUIREMENTS --
Critical skills: Python (advanced), Linux (advanced), SQL (intermediate to advanced). Must be able to learn quickly by reading appropriate documentation in order to write clean, idiomatic code.
Nice to have: Experience using IaaS like Amazon AWS or PaaS like Heroku. Experience using Docker. Exposure to big data tools like Spark or Hadoop, or familiarity with the underlying ideas like MapReduce.
DrivenData Labs | Software Engineer (Python) With Focus On Data Applications | Berkeley, CA | FULL-TIME, ONSITE | http://drivendata.co
-- OVERVIEW --
DrivenData brings the transformative power of data science to organizations tackling the world's biggest challenges. We run online machine learning challenges with social impact, and we work directly with mission-driven organizations to drive change through machine intelligence and analytics.
We are looking for a talented software engineer who is interested in using their job to take on tough social challenges, while growing their data acumen and building real-world applications. As a core member of a small team your role will include managing code development, brainstorming approaches to engineering problems, working closely with data science and machine learning developers, and taking an open and constructive mindset to getting things done across multiple projects. You'll work directly with data scientists that started their careers as software engineers, bringing an experienced understanding of software processes alongside opportunities to learn new quant skills, tools, and ways of approaching data applications.
-- ROLE --
This is a software developer role ideal for a Python engineer with 3-5 years of professional experience who is interested in data (possibly looking to transition into data engineering or data science). Advanced proficiency in Python and comfort with Linux a necessity. Good opportunity to learn the quant skills necessary to work in the data space. No need to have a background in math or a CS degree, but the job will involve a lot of quantitative thinking so the applicant should not be afraid of math.
Working on a small team means doing a little bit of a lot of things. We're looking for somebody who can ask the right questions to figure out what is important, iterate between brainstorming together and working independently, and exercise sound engineering judgment to make reasonable decisions under conditions of ambiguity.
Doing client-facing work involves turning uncertainty into a reasonable path forward. As a team, we value arguments for how to proceed based on evidence, and we want somebody who will present their opinion and engage in a discussion around the best way forward.
Here are some of the things you'd be doing on an ordinary day:
- Internal software development: Maintain our Django codebase for drivendata.org, fix bugs, add features, safely refactor and maintain test coverage. Develop new internal tooling and improve on existing apps.
- Client-facing software development. Build a variety of applications, generally small green-field proofs of concept. Quickly learn and adopt new technologies on demand based on client needs; a typical engagement may include at least one data technology we haven't all worked with before (e.g. Elasticsearch, Apache Storm, Cassandra).
- Light DevOps Tasks
-- REQUIREMENTS --
Critical skills: Python (advanced), Linux (advanced), SQL (intermediate to advanced). Must be able to learn quickly by reading appropriate documentation in order to write clean, idiomatic code.
Nice to have: Experience using IaaS like Amazon AWS or PaaS like Heroku. Experience using Docker. Exposure to big data tools like Spark or Hadoop, or familiarity with the underlying ideas like MapReduce.
We are looking for a motivated and high-achieving Data Scientists, and Python Engineers based in London to join a team commercialising the next-generation machine learning technology. This is a full-time placement with significant opportunities for personal development.
We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our World. (check out our website: www.causalens.com)
We’re a well-funded and fast-growing startup that is building a data ecosystem which will transform the ability of business professionals to find and use novel sources of data in their decision-making processes. We’re tackling some pretty interesting problems around data analysis, data visualization, big data processing, machine learning and statistical prediction.
Looking for:
Senior Software Engineers
-6+ years of software development
-Python experience
-Interested in data
-Individual contributors
Salary range: $170-200k + equity
Our team is comprised of former financial investors, NSA cryptology and applied mathematics experts, and Silicon Valley software veterans. Based in Manhattan.
Parse.ly | Python Data Engineer or Infrastructure Engineer | Remote | Full-Time | https://parse.ly
Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Do you have any existing interests in real-time streaming data, such as can be powered by systems like Apache Kafka and Redis Streams? Or, are you a DevOps-minded Linux expert with a love of cloud automation, configuration management, and immutable architecture? If so, then you should apply for our fully distributed team, since we are hiring!
Python Data Engineers[1] write code that runs on hundreds of cloud nodes, using best-in-class distributed database technologies like Kafka, Cassandra, and Elasticsearch. Infrastructure Engineers[2] focus their Python and Linux skills on cloud server automation, such as Ansible and Terraform. Folks with both skillsets are on the same team, in the spirit of "true DevOps".
Members of this team power a massive time series analytics engine and content crawl database that offers an elegant user experience to hundreds of enterprise customers. We do all of this on a team that's "small enough to be nimble, but large enough to be dangerous." Right now, we are ~20 total product/engineering team members, spanning skills like backend Python batch / streaming jobs, frontend JavaScript / D3.js / Vue.js dashboard development / design, product management, and cloud automation with tools like Terraform and Ansible. About half of those engineers are in "Parse.ly Backend", which spans the Python Data Engineer and Infrastructure Engineer roles described above.
Join us to build the world's best content analytics system. Apply at work@parsely.com with a couple paragraphs describing why you're interested, and mark your subject line as either "Python Data Engineer via HN" or "Infrastructure Engineer via HN". In the email body, include your location/timezone in North America or South America; a link to any portfolio/code you think is relevant; a few lines or paragraphs on why the role is relevant to you; and/or direct attachment of your CV/resume.
We are wrapping up our 2021 hiring wave, after Parse.ly's recent acquisition by Automattic[3], which it itself one of the world's largest fully distributed teams, one of the biggest champions of open source publishing + commerce (e.g. WordPress.com, WooCommerce.com), and the company behind popular technologies that power the open web (e.g. Jetpack.com, Akismet.com). We look forward to hearing from you!
Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month.
We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing a round from top-tier investors and hiring fully-remote for:
Jobteaser.com is the European leader for providing schools with carrer centers. We have all major business and engineering schools (Edhec, Essec, Polytechnique, Epitech, Epita...)
We are looking for ETL, Data analysts and Data visualisation engineers to provide schools with pretty analytics and maintain the infrastructure behind it. We currently use ruby, rails, Postgres, AWS (Redshift, API Gateway, Lambda, Kinesis, S3), react and highcharts. We also have a little recommendation engine made with python, scikit-learn, and XGBoost that we plan to extend.
If interested, email me at: benjamin.crouzier@jobteaser.com
Backend Senior Software Engineer (python) * Data Engineer * Data Scientist | SAN FRANCISCO
We have an opening for a senior level data engineer who is entrepreneurial and passionate about leveraging big data and search technologies (e.g Hadoop, Machine learning, Natural Language Processing, Web Crawling) to build out a unique product that will transform how businesses are able to analyze relationships in their network to uncover new opportunities.
We're looking for fast learners who can get their hands dirty, quickly; who know when to duct tape and when to have 100% test coverage (think like a hacker, ship like a pro); who don't mind being wrong occasionally; and who are intrigued by the overall space we're in. You'd be single-digit employee and have a significant opportunity to influence our culture and growth, as well as immense impact on the product itself.
For the past 12 months we have been heads down building Node and running a successful private beta. Now we're looking to build out our core engineering team that will shape the foundation of our company. We are a stealth startup comprised of ex-Google, IBM, and Salesforce players and backed by a reputable list of investors including NEA, Mark Cuban, Felicis, and Dave McClure.
Here is a recent article written by our CEO which speaks to the evolution of network intelligence and our ability to harness this data to transform the way business gets done: http://recode.net/2015/03/31/the-network-intelligence-moveme...
Are you interested in hearing more? Looking forward to hearing from you.
We're a young SaaS company that helps retailers optimize their pricing based on their competition. We are hiring data engineers to help grow our developer team, add more features and refine our data pipeline (from web scraping, to machine learning for analysis, to beautiful d3.js charts for customers)
Our stack is open source friendly and modern: Python, MongoDB, Elasticsearch, Docker, AWS, Vue.js ; We are also maintaining a couple relatively popular Python modules on GitHub.
We are looking for generalist Python developers that want to dive deep into data and join a fast-growing startup. French-speaking candidates will be preferred.
Apply here: https://www.pricingassistant.com/jobs/fr/developpeur-python-... + jobs [at] pricingassistant [dot] com
reply