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Learn more about us!
What is going on at Twisto right now?
We started in 2013 as the simplest deferred payment solution at online checkout. Today we are a daily payments app, delivering seamless omnichannel daily payments to customers across Europe ????. And you can help on our next journey! We are currently seeking a talented Data Scientist to join our team.
About our team:
As part of the Risk department, our international Data Science team plays a crucial role in developing and implementing cutting-edge machine learning models. Beyond that, we actively contribute to business optimization efforts, leveraging the power of data to drive value across various operational areas.
Your future challenges and task on a daily basis:
What do we offer?
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Data Science is at the heart of Snapp’s products and decision-making. As a member of the Data Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation and many other services. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We work closely with many teams of the company to improve their products and decisions.
As a Data Scientist, Decisions, you will leverage data and rigorous, analytical thinking to shape the company's product and business decisions. You will identify and scope opportunities, shape priorities, recommend solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, business, and operations stakeholders throughout the organization.
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About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, political campaigns, and businesses. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the team:
The Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.
Ripple is a proprietary, business-to-business technology product that helps our clients identify, engage, and measure impact on influencers who matter to their causes or brands. You will join a small and growing team of data, engineering, and product professionals to help us solve some exciting and challenging problems and to deploy the next generation of Ripple.
About the role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our internal products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.
In this position you will:
What we are seeking:
Recruitment process
We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three (3) interviews and a technical assessment (HR interview 15 minutes; manager interview 45 minutes, and team interview/assessment 60 minutes), all virtually. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready.
What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
The salary for this position is $80,000 annually.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)
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Commercial Data Scientist (f/m/d) - Amsterdam, London, Cologne or remote
is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.
Our goal is to overcome language barriers and bring cultures closer together.
What distinguishes us from other companies?
DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.
When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.
Your Choice
We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.
What will you be doing at DeepL?
You will be part of the highly motivated team that runs DeepL's analytics platform. Our growing team is a cross-functional mix of Engineers, Data Analysts, and Data Scientists working towards our common goal of leveraging our user data. Your job is to create value from the vast amount of data that we gather from our more than 100 million users. You will turn this data into insights via predictive modeling and performance analyses in order to move key business metrics. By doing so, you will make a significant impact on building the best possible translation experience and overcome language barriers.
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