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At ROOBEO, we have a vision of a unique supply solution for the construction industry. To help us conquer the market we are looking for talented individuals to work with us to turn our concept into reality. If you are interested in joining our young start-up and working with creative and motivated colleagues towards achieving our vision, then we look forward to receiving your application! We offer High degree of autonomy - experienced management team dedicated to your personal development A great working environment and a unique start-up atmosphere Urban Sports Membership or BVG Job-Ticket Great teamwork with highly motivated and talented colleagues and close cooperation with the founders and the management Unfiltered insight and active participation in building a fast-growing company Best training opportunities and internal coaching Your tasks Model and build data solutions to support ROOBEO's growing business Design, implement and extend an enterprise data warehouse that will support our company's commitment to analytics and a data-driven business philosophy Develop and maintain ETL processing pipelines for batch and near-real-time data as well as analytical / machine learning workflows Extract data from various transactional databases, third-party tools and APIs Proactively make suggestions on how the team can leverage new technologies and architectures to improve the performance of our data platform Contribute to meet-ups, presentations, documentation and other knowledge-sharing platforms to promote best practices and tech stack recommendations Your profil You finished your study in a quantitative subject, e.g. computer science, physics, mathematics, economics, engineering or already gained a lot of experience in this field You have good knowledge of SQL and RDBMS concepts You have experience with column-oriented databases and optimization techniques thereof (preferably AWS Redshift) You have experience with distributed job schedulers You have good knowledge of an object-oriented language (preferably Python or Java) You have good knowledge of Linux platforms and scripting capabilities (bash/zsh) You have experience with cloud data architectures (preferably AWS) You have creative problem solving abilities and an eye for detail You have an independent and rigorous working style Zusätzliche Leistungen: Flexible Arbeitszeiten Home Office Kostenloses oder vergünstigtes Essen Kostenlose Getränke Zusätzliche Urlaubstage Weiterbildung Art der Stelle: Vollzeit, Festanstellung Sprache: Deutsch (Bevorzugt)

At FinCompare we are on a mission to simplify SME finance by using technology to offer businesses a convenient one-stop destination for all their financing needs. In a non-transparent financing market, we are providing access to and the opportunity to compare modern and suitable financing products. Therefore, we are looking for smart team members to join us on our journey to become Europe's biggest, most advanced and reliable SME financing platform. Your Responsibilities You engage with key stakeholders to understand the business vision, requirements & priorities and help to translate data into actionable insights You create data analyses based on clear and detailed specifications from stakeholders You collaborate with the different teams, e.g. Product, Marketing and Sales, on daily processes to deliver data and reports that drive decisions You work closely with Marketing and Sales, helping them to reach our customers and increase the performance of marketing and sales campaigns You analyze trends in our data and provide insight and explanation to key stakeholders You build dashboards for different departments, visualizing the most important KPIs You establish scalable and efficient automated processes for data analysis Your Profile You have 2+ years of relevant work experience in Business Intelligence, Data Engineering, Data Analysis, or a related field You have a Bachelor degree Mathematics, Computer Science or IT background You have experience working with relational databases SQL and ETL process with Python/ bash scripts, PostgreSQL is a plus You are strong in analytics, problem solving and troubleshooting A Plus if you have experience with Linux distributions You are fluent in English, German is a plus Your Benefits We encourage your personal development, offering individual external and internal training, conference visits, and regular appraisals You take responsibility from day one and work in an agile team of diverse, smart, and passionate people from more than 10 nationalities You can benefit from our flexible working hours An experienced management team will focus and foster your professional development Flat hierarchies, open communication, high energy and high reward are a part of our culture We offer you membership in URBAN SPORTS club, free drinks and fruit, fun team events, learning and development meetups such as dinner & learn A friendly, open office with a great atmosphere in the heart of Berlin rounds up our profile

Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides the data reduction and data processing solution for Automotive (IoT) applications and enables the launch of new applications by reducing costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected cars for all sensor, video and 3D mapping data. In this role, you will work on the productization of cutting-edge video streaming software and algorithms, always in compliance with automotive standards and while making sure that we deliver highest quality products. You will be closely working with Research Scientists and Software Engineers. Your responsibilities Design and develop highly performant video processing software for hardware constrained embedded devices but also GPU based systems. Port, implement and optimize video processing, computer vision and machine learning algorithms developed by our Research Scientists and Codec Developers. Write high quality, well tested and documented code, ready to run on special purpose computing architectures used in connected car applications. Propose and develop creative and efficient solutions to challenges in video streaming applications and contribute to expanding our intellectual property portfolio. Carry out performance benchmarking and analysis to support engineering decisions. Provide engineering support to research efforts, working closely with Research Scientists (developing novel algorithms) and backend developers. Who we are looking for You have a Computer Science or Software Engineering background and at least 3 years of professional experience in a similar position. You have strong programming skills in C++ (C++14) and good working knowledge in Python. You have a good working knowledge of CMake and the associated set of tools (CPack, CTest, KWStyle, etc) You have a passion for and a strong experience in low level programming. So, you are proficient for example in multithreading, know when to use heap and when stack memory and are familiar with performance optimization techniques for efficient video-data processing. You are familiar with software profiling and are proficient in relevant tools, such as valgrind, perf etc. You are experienced in image and real time video processing and are familiar with the technologies and frameworks such as H.264, FFmpeg and OpenCV. You have experience with video streaming technology such as RTMP, Multiplexing and GStreamer. Ideally you have some experience with GPU programming in CUDA/OpenCL or have implemented algorithms on Digital Signal Processors (DSPs). It is a plus if you have some knowledge about MISRA or ISO compliant C++ development. It is a plus if you have some knowledge about neural network architectures and their implementation. “Can do” and above all “want to do” attitude. Motivated fast learner and problem solver who can work in a team as well as independently. You are familiar with AGILE tools and working practices (JIRA, etc) What we offer A unique opportunity to actively contribute to future mobility challenges. To increase your know-how in state-of-the-art technologies:   Data Analytics, Machine Learning and Embedded Development. Flat hierarchies and work in a small but highly motivated, multidisciplinary and multicultural team. To work in a vibrant start-up environment in the heart of Berlin with the chance to play a big role in the success of Teraki. We do work that matters!

We are looking for a Data Science Intern with a strong passion for algorithm design You have the unique opportunity to join an early stage company, that will revolutionize the manufacturing industry. You will develop a cutting-edge product, while co-creating your ideal work environment and company culture. If you pride yourself in being flexible, stress resistant and generally thrilled by the idea of joining an early-stage startup company, read on. AiSight builds a plug-and-play hardware and software solution that uses machine data, to predict and prevent machine malfunction using self-learning AI algorithms. This tremendously increases machine uptime, output and productivity and significantly cuts companies service and maintenance costs. Our Team is holding master’s degrees from respected universities such as ETH Zurich, ESCP Europe, UC Berkeley and Zeppelin University. Additionally, we have many years of professional experience at companies like Porsche, Bilfinger Berger, ABB, Holtzbrinck Digital or BTG Pactual and multiple startups in the Silicon Valley, Southeast Asia, Brazil and Berlin. We recently secured a major financing round. Deine Aufgaben We are looking for a Data Science Intern with a strong passion for algorithm design at our humble enterprise. What you’ll be doing: You will develop state-of-the-art machine learning models into a production-ready product and build large-scale data pipelines. You’ll research and design advanced algorithms and implement, document, test and deploy them. You’ll go through the entire machine learning flow, including: feature extraction, supervised/unsupervised/semi-supervised/active learning, classification, and regression. Diese Qualifikationen bringst du mit Who we are looking for: You are excited by complex problems, love to code, have a hands-on mentality and you are passionate about latest stage AI, Machine and Deep Learning. You have exceptional competence in the following areas: Applied machine learning, software engineering, acoustics, vibration analysis & signal processing. Beneficial: You gained some industry experience working with machine learning frameworks and large-scale data processing systems. Wir bieten diese Benefits What we offer: The freedom of building the company you love. A competitive salary and benefits. Collaborative Culture with regular off-sites and team events. If you feel like you are the perfect match for this endeavor, please don’t hesitate to contact us.

Do you want to help build a world-class institution, experience the thrill of being part of a high-growth technology company, and improve people’s lives? Careem is the leading technology platform for the greater Middle East. A pioneer of the region’s ride-hailing economy, Careem is expanding services across its platform to include payments, delivery and mass transportation. Careem’s mission is to simplify and improve the lives of people and build a lasting institution that inspires. Established in July 2012, Careem operates in more than 120 cities across 15 countries and has created more than one million job opportunities in the region. ABOUT THE ROLE As a Sr.Data Scientist at Careem, you will work closely with product and engineering teams to define and tackle focused as well as open-ended problems. In the process, you will: Translate complex business and product problems into Data Science solutions Design the workflow of the DS projects, from experimentation to implementation in production Communicate the impact and value of the DS projects and the way they work to your stakeholders Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization Coordinate with the Data Science Platforms team to bring complex optimization algorithms in production Design experimentation and Analyze AB tests results with the right methods and tools Help bring AI at the Core of Careem Implement large scale optimization algorithm You have The ideal candidate is innovative, detail-oriented, result-focused, has a solid quantitative background, business savvy, and takes full ownership of their work from the inception of the idea to the implementation of the final product. In particular, the requirements are 3+ years experience in decision science, optimization and/or game theory. Machine learning experience is valued. Fluency in English along with excellent oral and written communication skills. Proficiency and demonstrated experience in Python and Java. Demonstrated experience with database technologies (e.g. Hadoop, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) Bachelor's degree in a quantitative discipline such as Physics, Economics, Statistics, Mathematics, Engineering or Computer Science. Understanding of business and ability to drive decisions that affect the bottom line What we offer: A strong culture of ownership Working in an international environment with colleagues from 70+ nationalities Flexible working hours Unlimited (paid!) holidays 20% off Careem rides and free Careem credits awarded monthly for company growth Medical insurance Regular performance appraisals and feedback Working with the latest technologies on some of the biggest challenges in the region.

Du willst Teil der Revolution im Versicherungswesen sein? Du bist fasziniert von neuen Technologien und ihren Auswirkungen auf den Versicherungsbereich? Du willst mit dabei sein, wenn die etablierte Versicherungswirtschaft in Deutschland und im Ausland fundamental verändert wird? Wir sind ein solide finanziertes InsurTech Start-up mit einem erstklassigen Gründungsteam aus etablierten Fintech Entrepreneurs und führenden Versicherungsexperten. Leidenschaft, Einfachheit, Schnelligkeit, Flexibilität und Transparenz - das sind Kernwerte unseres Unternehmens, das wir gemeinsam mit Dir aufbauen wollen. YOUR ROLE Partner with business stakeholders to generate actionable insights from semi-structured data to support decisions Partner with business stakeholders to define analytical requirements to support their operations Build and maintain reporting solutions, including Data transformations and modelling using SQL Data exploration interfaces on BI tool Dashboards and metrics to support business strategic steering and team-level planning Regular reports and analytics to support business operations (e.g. actuary) YOUR PROFILE Analytical mindset – You are comfortable turning vague questions into concrete analyses and deriving actionable conclusions You think critically about analytical results, see beyond the obvious Business Acumen and strategic thinking – you can think in the shoes of your stakeholders and put your decisions in a wider business context Comfortable running advanced analytics using SQL databases – You can find creative solutions to build analyses on top of SQL-like databases 2+ Years of experience as a Business Analyst / Product Analyst with intention to transition to a more cross-functional role or 2+ Years of experience as a BI analyst in Fintech / Ecommerce Meaningful experience working with SQL databases to generate insights, Amazon Redshift or PostgreSQL Experience working with Snowplow, Looker or dbt Experience with analysis of controlled experiments / A/B tests Knowledge of programming languages for data analytics (Python, R) or applied statistics WHAT WE OFFER Building a product that makes people’s life easier and supports them at their point of need A highly diverse and vibrant set of people with a strong cultural bond and space for your own ideas in a dynamic, dedicated and motivating environment We help you staying fit with the support of your Urban Sports Club membership Participation in the company's success with our share option program CoyAcademy - we invest in you - which means external trainings as well as internal learning sessions and workshops Ergonomic chairs and standing desks 20% additional payment to your company pension Visa and monetary relocation support for your easy start in Germany A modern office in the beautiful area of Berlin Kreuzberg with Team-Events, cultural lunches and drinks

Die Vision von Craftnote ist die Digitalisierung der Bauindustrie. Seit 2017 können wir mit unserer App die tägliche Arbeit von bereits über 25.000 Handwerkern vereinfachen. Doch das ist erst der Anfang. Unser Ziel ist es, alle Beteiligten auf der Baustelle und im Büro zu verbinden und so die Zusammenarbeit aller zu verbessern. Dabei gehen wir immer kundenzentriert und innovativ vor. Bis 2021 wollen wir so jede zweite Baustelle im deutschsprachigen Raum unterstützen. Zusammen mit Dir wollen wir die Baubranche revolutionieren. Bist Du bereit diese Herausforderung gemeinsam mit uns zu meistern? Das erwartet Dich bei uns: Du erstellst Berichte und Statistiken und analysiert diese auf Grundlage der vorhandenen Daten Du visualisiert Deine Ergebnisse mit Hilfe von Datenvisualsierungsoftwares und stellst diese in Dashboards dar Du leitest KPI’s auf Basis Deiner Analysen ab Du arbeitest eng mit verschiedenen Fachbereichen zusammen Worauf wir uns freuen können: Du hast ein erfolgreich abgeschlossenes Studium der (Wirtschafts-) Informatik, Wirtschaftswissenschaften, Statistik oder einem vergleichbaren Studiengang Du konntest bereits Erfahrungen mit der Datenvisualisierung sammeln (z.B. mit Tableau, QlikView, Qlik Sense oder Microsoft Power BI) Du bist sicher im Umgang mit Google Analytics und BigQuery Du hast Erfahrung im Umgang mit einer Software für (statistische) Analyse (z.B. SAS, SPSS, Stata) oder Business Intelligence (z.B. IBM, Oracle BI, Alteryx) Du verfügst über gute Kommunikations- und Präsentationsfertigkeiten Was wir Dir bieten: Wir legen Wert auf eine gute Work-Life-Balance, daher gibt es flexible Arbeitszeiten und die Optionen auf Home Office Wir bieten ein attraktives Gehalt, Bonuszahlungen und Du bekommst 30 Tage Urlaub Wir unterstützen Dich bei Deiner Urban Sports Club Mitgliedschaft oder Deinem BVG-Abo Wir statten Dich mit leistungsfähiger Hardware aus (MacBooks) Bei uns findest Du interessante Aufgaben und ein hohes Entwicklungspotenzial Für Deine berufliche Weiterentwicklung steht ein jährliches Budget zur Verfügung Wir planen regelmäßige Teamevents Bei ermöglichen die betrieblichen Altersvorsorge Wir lieben es unkompliziert. Sende uns einfach eine kurze Nachricht und wir treten mit Dir in Kontakt. Oder schicke uns Deinen CV an jobs(at)craftnote.de.

EXXETA is an independent and medium-sized technology and consulting company with a focus on the automotive, energy and financial services sectors.   We offer our customers a unique combination of business and IT.   We deliver holistic, innovative solutions, from specialist and IT consulting to self-developed software products to the conception and implementation of future-oriented strategies and new business models. As a Data Science and Machine Learning intern (m / f / d), we offer you the opportunity to actively participate in our current Data Science and Machine Learning projects.   As part of a distributed and interdisciplinary team, you work in an innovative, industry and application-oriented manner on the great challenges of the economy in a pleasant, technically demanding work environment.   The activity gives you insights into methods and tools in the field of data science and machine learning and combines them with practical tasks in projects.   The duration of the internship should be at least 3 months. What awaits you Interesting, changing problems, which offer you insights into different applications and industries Design, analyze and optimize algorithms using statistical methods Take on implementation tasks as a member of a machine learning team and support us in the design of creative solutions Model data and train machine learning models to solve specific problems Customer-oriented work on interdisciplinary topics What do we expect from you Studied computer science, mathematics, physics or another mathematical and scientific subject Strong analytical skills Good programming skills (e.g. Python, R, MATLAB) Pronounced interest in data science and machine learning topics and ideally first knowledge in this area Very good spoken and written German or English skills Conscientious, responsible and team-oriented way of working Creativity and fun solving difficult problems Why EXXETA Exciting and current topics with a direct connection to practice Benefit from our start-up atmosphere: a relaxed, friendly and open work environment in which you can make a difference Use the flexible working hours for your study-life balance Set the course for your start in professional life Note: Your application and your certificates are sufficient for an application;   we do not need a cover letter.   If your documents are of interest to us, we invite you to a data science challenge in a first step.

WE ARE LENDICO The team at Lendico stands for combining sophisticated technology, in-depth finance understanding, and years of experience with streamlined processes and the courage to explore new things.   We're better - and that is not only valued by our customers but also recognized with multiple awards by the finance industry. ING & Lendico With ING on our side, we focus on what we do best:   offer financing solutions for small and medium sized companies - fast, straightforward, inexpensive. For the past 50 years, ING has proved in Germany that they are different.   We're doing the same - just not quite as long.   That's why we are convinced that ING's corporate strategy in Germany and Lendico's digital, very efficient business model complement each other well and that together we can grow faster. YOUR RESPONSIBILITIES You will work on Lendico's beating heart, the one source of truth: our company data warehouse Here, you support your fellow analysts with building data marts to enable self-service analytics for our stakeholders So, you help the data engineers to design and develop ETL processes helping to advance Lendico's data warehouse further You want to be part of a self-organized cross-functional agile BI team You will never stop challenging the status quo and proposing changes to take us to the next level Beyond that, you will build data products to automate manual and repetitive tasks At last, you will take ownership of specific components and continuously work improving them YOUR PROFILE At least 3 years of professional experience in a programming language (ideally in Python) (open-source definitely counts) 2+ years of experience with schema design and dimensional data modeling. 2+ years of experience in custom ETL design, implementation and maintenance. 2+ years of experience working with SQL You have experience in working with relational databases as PostgreSQL You worked with workflow engines such as Airflow or Luigi You know what CI stands for and use this on a daily basis (optional) You have experience with Docker and how to dockerize software (optional) You have experiences with Cloud infrastructure services (ideally Azure) (optional) You have experience in working with Kubernetes You worked in FinTech before or you have strong interest in FinTech You work independently and welcome not only challenges but the feeling of overcoming an obstacle You are passionate about creating something from scratch and building up your department in a team effort You love automation and value reproducibility You are fun to work with and you actively contribute to our company culture You are a team player who proactively shares her / his knowledge WHAT WE OFFER An unlimited contract A steep learning curve in an innovative industry;   including plenty of responsibility and conceptual freedom An international team of experts who inspire and support you An easily accessible and modern workplace Regular get-togethers, team-building events, barbecues, and parties Typical start-up perks: soft drinks and snacks for free, language classes for German and English, company pension scheme, etc

At RatePAY we are experts for individual e-payment solutions for online shops of all kinds.   We deliver customized multichannel approaches, handle the entire payment process and bear the risk of payment defaults. We are looking for colleagues who take responsibility.   They grow with their challenges and never stop improving.   Colleagues who work with us as a team, supporting each other.   With passion.   With open eyes and ears.   And a lot of heart. Your mission As Software Engineer Java \ * you are an integral part of our joint mission is to build and run the smart solutions which make deferred online payment as simple, secure and frictionless as possible for both shoppers and sellers in the growing European market. Your further tasks are: You implement internal and external REST APIs Together with your team you develop our RatePAY (micro) service architecture You are an active part of our agile software development.   Together you are building and running state-of-the-art software solutions that customers love That's what we wish for You have good German and very good English language skills You successfully completed your studies in (economic) computer science or a comparable vocational training You are an enthusiastic developer with at least 2 years of relevant job experience You have extensive experience in Software Engineering in Java with a focus on backend development You gained profound experience with Spring, REST, version control, Maven, Docker, Jenkins and virtualization Knowledge in Spring Boot, git, Kafka, ActiveMQ, PostgreSQL, GraphQL, CI / CD, OAuth 2.0 are a plus Your credo is "You build it, you run it" You work solution-oriented, independently and with greatest care You have an Agile mindset and a true team player That's how working with us will be A team of developers, in which you will make a difference and where sharing knowledge is very important You can choose your technical equipment and work with a modern tech stack Company and team events, lunch breaks together and a great time with your colleagues Lots of space for your personal and professional development Resources to realize your innovative ideas to improve our products Internal and external trainings and education Flat hierarchies and short decision paths You want to start your career at RatePAY?   We are happy getting to know you! https://www.ratepay.com/en/online-declaration-application-procedure/

For our   Group IT Digital Platforms Data Services   we are seeking with immediate effect a Data Analyst for our Berlin office. WHAT YOU WILL BE DOING Gain an understanding of the requirements and take it down the data field level Apply analytical methods and tools to equip the business with relevant and accurate information Support the data and analytics scrum teams with reporting and analysis in order to plan, optimize and sustainably grow our data services Deliver excellence in data analytics by measuring performance of the product or service you represent Collaborate with Data Scientist to explore opportunities to deploy advanced analytics such as machine learning and predictive analytics Provide some ad-hoc analysis to understand what has happened and assist in predicting the future Maintain, update and create marketing analytics and reporting systems, such as dashboards Actively participate in our TUI Analytics Community WHAT WE ARE LOOKING FOR Degree in statistics, economics, mathematics or IT, alternatively a equivalent qualification Professional experience in statistics, business intelligence or data warehouse environment Experience with BI and visualization tools (eg Spotfire, Tableau or Power BI) and data warehouse technologies (eg SQL) Knowledge of at least one programming language (eg R, Python) A real can-do attitude with a willingness to just get on with the job and make great things happen Previously worked on a “Big Data platform”, enabling non-technical users to gain insight into key business metrics Hands on experience with modern "Big Data" systems (eg Amazon RedShift, Athena, Glue);   Snowflake is a bonus Data driven mindset and a natural curiosity Strong problem solving and analytic skills Fluent English language skills;   German is benefical WHAT YOU CAN LOOK FORWARD TO Employment with the world's leading tourism group with 30 vacation days a year and flexible working time models Attractive remuneration with holiday and Christmas bonuses, company pension plans and capital-forming benefits Comprehensive and individual training opportunities / programs that promote specialist and management careers An open, agile and collegial working atmosphere with flat hierarchies and short decision-making processes Employee benefits and other attractive social benefits (eg subsidy for canteen / cafeteria, job ticket, employee shares) A comprehensive social & health service with a wide range of offers (company sports groups, in-house massages, regular visits to specialists, etc.)

CONSULTANT DATA WAREHOUSE / BUSINESS INTELLIGENCE (M / F) What you can expect from ixto: A young, versatile team Diverse challenges for our customers from medium-sized companies to large corporations Realization of sophisticated data warehouse and BI solutions Main topics: Data warehouse design SQL development, especially based on the Microsoft SQL Server Microsoft Integration Services (ETL) Microsoft Analysis Services (OLAP, MDX and DAX) Microsoft Reporting Services and Power BI Microsoft Azure (Machine Learning, Data Factory, Stream Analytics) Professional and technical communication with our customers to design optimal solutions You should bring: Completed studies with a focus on computer science, business informatics, business administration, mathematics or a comparable education A high level of enthusiasm for database systems and BI and the willingness to familiarize yourself with the latest Microsoft BI tools as quickly as possible, to train and to acquire suitable certifications Professional experience in the BI environment is very welcome Communication skills, teamwork Customer and service orientation Flexibility, self-motivation Traveling What we offer you: We attach great importance to a good working atmosphere.   Employee meetings, internal knowledge exchange and many joint activities promote cross-team collaboration and a sense of community. We design personal development models and agree individual goals.   Each of our employees is involved in the company's success;   we offer a contribution to old-age provision and supplements for special flexibility and willingness to travel.   We also offer part-time models, sabbaticals and parental leave for fathers to combine work and family life.

We are a dynamic, successful, and fast growing FinTech company based in Berlin, that aims to making savings and investments digitally accessible to improve customer benefit.   Our goal is to provide customers all over Europe with simple, secure, and profitable savings and investment products without barriers.   We have received more than € 195 million in funding from well-known investors including Thrive Capital, Ribbit Capital, Index Ventures, Yuri Milner, Tom Stafford and PayPal. Our platform is available in English across Europe alongside country-specific platforms in Germany, France, Spain, Austria, UK, and the Netherlands.   We are one of the leading FinTech companies in Europe, with more than 180,000 satisfied customers and exceeding € 13.5 billion in assets invested via the Raisin platforms, and have featured in The FinTech50 in 2016, 2017, and 2018. These will be your tasks For further development and expansion of our successful business, Raisin is looking for highly motivated, smart and driven engineers to complement our team in Berlin.   As a Java developer here, you will be working on our online banking system together with an international team of top developers from companies including Google and Facebook Providing core services and high-quality solutions for a large scale online platform and everything related to the online banking system Integrating externally developed components into existing application environments Together with the rest of the team, setting standards, establishing guidelines and sharing best practices in order to ensure continuous learning and development as well as stable solutions for our customers. You're offering these qualifications University degree in Computer Science, Engineering, Information Systems or related fields or equivalent practical experience Familiar working with Linux, MySQL and the creation of web services and new applications Understanding, dissecting and influencing business requirements in order to find a suitable technological solution is one of your core competencies Good understanding and practical experience in working in an agile environment using test-driven development and continuous integration Writing clean, maintainable and well-documented code comes naturally - we strongly believe in Uncle Bob You are comfortable with very open and challenging code and architecture discussions You are an open-minded and creative team player willing to continue creating our culture Great English communication skills We're offering these benefits Be part of a diverse team of more than 34 different nationalities, who strongly believes in agile cross-functional methods, collaboration and appreciation in our daily work.   We are professional and work hard to always be the best in our field.   You can find us in our open office in beautiful Prenzlauer Berg well connected to public transport and surrounded by a great variety of restaurants and supermarkets. Relocation and visa support as well as a relocation reimbursement Personal training budget of € 1,700 and four full training days Free choice of hardware Beginner German classes directly at the office and financial support for acquiring a language certificate Hungry all the time?   Breakfast, snacks, daily fresh fruit as well as drinks are provided Stay up to date at regular townhall sessions with our founders and feel free to ask any kinds of questions Flexible working hours, home office and 28 vacation days Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than 20 € per month We offer you a company pension scheme, which we support with 20% Enjoy yearly company retreats to exciting European cities and other team events, such as Lunch Lottery, Tech Lunch, Xletix and Raisin Ladies Events

This ad goes out to all those who want to find a purpose in what they're doing and take accountability for their work.   At Blinkist, we've created a meaningful product that is growing fast.   Our blinks - key insights from the world's best nonfiction - help more than 12 million people around the globe to keep learning new and exciting things each and every day. Our app has been named by Apple as one of the very best in the App Store.   We've received the United Nations World Summit Award in the Learning & Education category, a Google Material Design Award for Brand Expressiveness, as well as an Android Excellence Award. Why we need you Today our learning platform generates more than 5 million events per day based on user behavior and engagement with our product that we enrich, transform, and transport to analytics applications to drive data insights.   We are now getting to the next level of data challenges as we introduce new products for future growth and new initiatives. Responsibilities You design, build and support scalable, high performance data applications, services, repositories and governance related applications. You adopt data architecture standards and establish software architecture best practices for big data management. You optimize and transform our data analytics infrastructure. You manage the technical scope, architecture, design decisions and documentation before, during, and after delivery as part of one of our cross-functional mission teams. You work closely with data scientists, product analysts, backend engineers and product / channel managers to ideate and ship new features and experimental projects. Requirements 5+ years of experience   in software development with a focus on   backend or data engineering   . Extensive work experience in   distributed data processing, serverless architectures, automation of data pipelines and / or other Big Data architecture   best practices Experience working with languages ​​such as   Go, Python, Javascript Node, Ruby or Java Experience with building real-time analytics solutions and streaming platforms using any of the   AWS Infrastructure and services   (Kinesis, EMR / Spark, S3, Lambda, SQS / SNS or similar public cloud offering) Comfortable working with   Cloud Native databases   (Redshift, Aurora or similar) Advocate of   agile practices   for rapid development of quality software, such as Clean Code, Pair Programming, CI / CD pipelines, TDD, and automated deployment Strong critical thinking and a result-driven mindset - You constantly challenge the status quo and want to come up with innovative and elegant solutions to improve engineering delivery and output to stay ahead of the market. [BONUS] Working understanding of container and orchestration services such as Docker, Fargate, ECS / EKS What's in it for you Permanent full-time position with a competitive salary, flexible work hours as well as a great home office and remote work policy in addition to 30 days of paid vacation per year An agile work environment of multiple cross-functional teams with distributed authority and a modern tech stack Find purpose in what you do in a product-centric, well-established startup with an international team that supports your relocation process We foster a unique company culture championing self-empowerment, personal development, direct communication, and mutual support Get yearly public transport passes to get around town hassle-free, and take care of yourself with an yearly Urban Sports Club membership € 1,600 learning budget - Get an annual budget to level-up your skills and grow in your role If we've captured your interest and you want to take part in building the leading destination for the modern lifelong learner, apply now and let us know why you're the perfect fit for the job! At Blinkist, we don't just accept difference - we celebrate it and support it.   We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

QUALIFICATIONS Master's degree or doctorate in (economic) mathematics, statistics, machine learning, physics, operations research, computer science or a related field Secure communication in German and English Presentation and communication skills, especially the ability to explain complex analytical concepts in a comprehensible manner for non-specialists and experts from other areas Experience in one of the following areas: statistical modeling, machine learning, mathematical optimization or process simulation First practical experience in the application of advanced data science methods to real data in a business context Mastery of two programming languages ​​(e.g. R, Python, Julia, SQL, GMPL, GAMS, ILOG OPL or related languages) Knowledge of some typical frameworks, e.g. mlr, caret, NumPy, pandas, scikit-learn, Spark ML, Keras, TensorFlow, Theano or gurobipy Additional experience in the use of gradient boosting, support vector machines or neural networks, deep learning or alternatively in formulating and solving optimization problems with Gurobi, CPLEX or CBC or in the use of simulation software such as Anylogic or Arena Ideally, additional knowledge of big data infrastructure and cloud-based analysis tools such as AWS, Azure, Google Cloud, Spark, Hadoop, AMLS or BigQuery WHO YOU'LL WORK WITH You will become part of our very committed and collaborative Advanced Analytics team and deal with exciting projects from all industries.   We work closely with clients and content experts to embed analytics solutions, expertise and skills in our clients' organization.   By combining strategic and business insights with the latest analytical techniques, we help our clients get the maximum benefit from data and solve critical data-driven problems. WHAT YOU'LL DO As a specialist, you develop solutions for our clients' challenging problems with the help of advanced analytics methods - from conception and modeling to transfer to implementation. You use your knowledge of mathematics, statistics, machine learning or optimization to derive important insights for and with our clients from various industries.   You bring your expertise to bear in interdisciplinary teams consisting of consultants, technical experts and data scientists.   You work on-site with clients in Germany, Europe and optionally worldwide and communicate your solutions both in a team and with clients. Functions Technology

With intelligent technology in focus, SOLYTIC builds high-scalability solutions for the global photovoltaics market.   Our business model is built with strong emphasis on IoT and Data Science and with less than a year of operations, our database already exceeds 1TB of data and processes several million data points per day.   We serve thousands of daily users and with our state of the art technology, customers are able to make well-informed decisions.   With a strong product focus and by utilizing newest technology, languages ​​and frameworks, we are determined to change an industry. Do you want to be part of that journey? Your future achievements: Design, build, maintain and scale our highly-available data and analytics infrastructure. Evaluate and select the best tools for data analytics and data processing.   Define best practices to configure, maintain and deploy these tools. Develop fault tolerant, adaptive and highly accurate ETL pipelines. Apply ML technologies to provide insights and forecasts to end customers, as well as BI insights for internal stakeholders. Continuously develop our data and analytics infrastructure to fit future challenges. Your profile: 2+ years of experience as a Data Engineer. Strong knowledge of NoSQL databases (Cassandra, MongoDB, Redis) as well as ability to maintain and optimize SQL databases (MySQL, MSSQL). You have general knowledge about distributed computing. Knowledge of how to install, configure and operate Hadoop and Kafka. You are fluent in at least one scripting language (eg Python or PHP), as well as one statically typed language such as C #, Java or Scala. Experienced working with at least one major cloud provider. You possess knowledge of a few data visualization tools, for instance Tableau, Microsoft Power BI or Superset. If you have knowledge of PV, IoT or Machine Learning concepts we consider this a large plus. The same goes for experience using data pipeline automation tools such as Apache Airflow or Luigi. What's in it for you? By contributing your ideas, you have the opportunity to leave a large footprint and actively craft a highly ambitious success story. You become part of an ambitious and fast growing team and have a large impact on product development. You contribute to changing an industry by working on forefront technology in a highly relevant and meaningful field. A centrally located office in Berlin-Mitte with a fully stocked fridge and amazing colleagues. A highly collaborative environment and direct collaboration and communication with the founders As an integral team member, you help crafting the tech team and the company. So what's next?   If this sparked your interest, we'd love to hear from you.   Submit your application today and we'll be in touch shortly. SOLYTIC is an equal opportunity employer.   We celebrate diversity and are committed to creating an inclusive environment for all employees.

For our   Group IT Digital Platforms Data Services   we are seeking with immediate effect a Data Scientist for our Berlin office. WHAT YOU WILL BE DOING Making good use of machine learning and data science approaches, we aim to improve customer understanding and experience and build the richest data sets available in our market.   As a Scientist Data your tasks include: Working within end to end teams to deliver complex analytics and world class big data solutions Delivering excellent big data solutions that improve the performance of key business processes (eg revenue forecasting, segmentation) Identifying key data sources and undertaking data collection, pre-processing and analysis Presenting information using data visualization techniques Evaluating model performances Partnering with key business stakeholders to deliver core capabilities into the business;   ensuring adoption of the capabilities is embedded within the business Automating manual processes of model building Using advanced methods to provide a greater depth of insight Prototyping new ways to visualize and understand data relationships Looking for new ways to solve business problems Defining robust measurement methodology to assess and track value WHAT WE ARE LOOKING FOR Academic degree in Statistics, Mathematics, Machine Learning or other quantitative scientific discipline Relevant industry experience in an advanced Analytics and Data Science role with commercial exposure to modeling customers, sales / revenue forecasting, customer segmentation and digital marketing etc. Experience in managing a project from manipulating raw data, through exploratory analysis and algorithmic development, to production and ongoing improvement Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Forests of Decision Trees etc. Strong applied statistics skills, such as distributions, statistical testing, regression etc. Extensive experience with common data science tool kits, such as DataRobot, R, Weka, NumPy, Spark ML Experience working with data pipelines and modeling in a production environment Good scripting and programming skills using languages ​​like Python and R Expert data visualization knowledge Experience of using Cloud based platforms and tools, preferably AWS Great communication skills, comfortable talking complex ideas and communicating them to different audiences Fluent English language skills;   German is beneficial WHAT YOU CAN LOOK FORWARD TO Employment with the world's leading tourism group with 30 vacation days a year and flexible working time models Attractive remuneration with holiday and Christmas bonuses, company pension plans and capital-forming benefits Comprehensive and individual training opportunities / programs that promote specialist and management careers An open, agile and collegial working atmosphere with flat hierarchies and short decision-making processes Employee benefits and other attractive social benefits (eg subsidy for canteen / cafeteria, job ticket, employee shares) A comprehensive social & health service with a wide range of offers (company sports groups, in-house massages, regular visits to specialists, etc.)

At Shopify, we empower 1Million + entrepreneurs all over the world.   We're looking for hard-working, passionate people to help us “make commerce better for everyone”.   For over 10 years we have been super driven when it comes to using data insights to help inform our product direction and make things better for our merchants.We are on the lookout for a Senior Data Scientist for our International Growth team.   The International team's mission is to Make Commerce Better for Everyone ... Everywhere!   We are a cross-functional group, focused on helping Shopify understand and serve merchants around the world.   As Shopify continues to expand globally and the scope of our market increases, we are looking for the right person to support the data strategy and integration around every single global market we tackle.Our Senior Data Scientists are "full stack" from ETL, to shipping into production, informing stakeholders, gathering context and being an expert in their domain.   We're looking to bring on board Data Scientists with the trifecta of experience in math, software engineering and business intelligence / domain knowledge. Required experience for the role: Working on a Data Science team at scale where analytics on top of massive data sets drives product and business decisions Working knowledge of Python is a must Analyzing data using SQL Being equally technical and functional (and both are strong), and equally comfortable and effective at presenting to technical or business leaders Understanding the many uses of regression and inferential statistics Having organizational and interpersonal skills, with proven success building relationships across all levels Working knowledge of Python is a must It would be great if you had: Previous experience using Spark Experience with statistical methods like regression, GLMs or experiment design and analysis Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools Familiarity with SaaS sales funnel, conversion rates, campaign performance and Google Analytics Closing date:   January 10th   * There will be a delay in response time based on the holidays If you're interested in helping Shopify shape the future of commerce, click the “Apply now” button to submit your application.   Please address your cover letter to Ella. At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard.   Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone.   We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and / or people with intersectional identities.

For our   Group IT Digital Platforms Data Services   we are seeking with immediate effect a Senior Engineer Data & API for our Berlin office. WHAT YOU WILL BE DOING As a Senior Engineer Data & API within our Data and Analytics function, you will play a pivotal role in technically delivering our data and analytical product alongside a talented multi-disciplinary team comprising of engineering, analytics, science and BI developers.   In detail, your tasks include: Transform complex business structures, processes and activities into technical solutions Design, build and support scalable, high performance data applications, web services, repositories and data governance related applications Contribute to the definition of data architecture standards and establish best practices for data management (including the handling of Personally Identifiable Information - PII) Design and implement logical and physical data models across platforms Manage equivalent, separate data sets across different development and staging environments as part of our release process Seek out opportunities to propose new concepts and ideas in "Big Data" and expand existing platforms or leverage new technologies to meet more complex business needs WHAT WE ARE LOOKING FOR A passionate senior engineer with extensive work experience in commercial data engineering Experience working with both modern compiled and dynamic / scripting languages: eg Go, Java 8, Scala, Python Experience in real-time analytics and streaming platforms (Spark, Kafka, etc.) Comfortable working with SQL / NoSQL Experience in using Amazon Web Services An advocate of agile practices for rapid development of quality software, such as CI, TDD, and automated deployment Experience in modeling and evolving complex data structures Real passion for Big Data and streaming technologies Comfortable learning new technologies, languages, and tools on the job A positive, collaborative mindset and a desire to deliver real business value to the customer Fluent English language skills;   German is beneficial An ability to challenge us - We want people who shape the future of this business, not afraid to raise questions and help us improve! WHAT YOU CAN LOOK FORWARD TO Employment with the world's leading tourism group with 30 vacation days a year and flexible working time models Attractive remuneration with holiday and Christmas bonuses, company pension plans and capital-forming benefits Comprehensive and individual training opportunities / programs that promote specialist and management careers An open, agile and collegial working atmosphere with flat hierarchies and short decision-making processes Employee benefits and other attractive social benefits (eg subsidy for canteen / cafeteria, job ticket, employee shares) A comprehensive social & health service with a wide range of offers (company sports groups, in-house massages, regular visits to specialists, etc.)

Du hast ein Gespür für Zahlen und kannst aus analysierten Daten Handlungsempfehlungen ableiten? Dann bist Du bei uns goldrichtig! Wir sind eine auf Digital Analytics spezialisierte Unternehmensberatung und haben es uns zur Aufgabe gemacht, unsere Kunden tatkräftig und pragmatisch bei ihren Herausforderungen rund um das Thema Daten zu unterstützen. Für den Ausbau unseres Teams sind wir stetig auf der Suche nach talentierten Mitarbeitern. Die hohe Motivation und Einsatzbereitschaft sowie der Wille, exzellente Leistungen zu erbringen, zeichnen unser gesamtes Team aus. Unsere Überzeugung ist, wer alleine schon gut ist, wird im Team noch besser. Deine Aufgaben In der Rolle als Berater erwarten Dich abwechslungsreiche Projekte. Die folgenden Beispiele sind ein Auszug der typischen Tätigkeiten: Eigenständige Leitung von Projekten und Betreuung von Kunden über den gesamten Prozess: Konzept, Implementierung, QA, Support, etc. Übersetzung von Business-Anforderungen in konkrete, technische Spezifikationen für Digital Analytics-Lösungen und BI-Systeme Entwicklung und Pflege der Datenerfassung mit Digital Analytics-Lösungen (Google Analytics, Google Tag Manager, Adobe Analytics, Dynamic Tag Manager, etc.) Etablierung von Erfolgsmetriken zur Performance-Messung Gestaltung übergreifender, leicht verständlicher Reports & Dashboards zur Visualisierung von Trends und zur Entscheidungsfindung Ableitung von Insights und Handlungsempfehlungen durch die Analyse und Visualisierung von Daten Konzeption und Durchführung von Workshops zum Thema "Daten & Analysen" Begleitung von A/B Tests und Personalisierungsmaßnahmen innerhalb der Customer Journey Dein Profil Wir suchen nach neuen Kollegen, die die vielfältigen und individuellen Anforderungen unserer Kunden abdecken können und hierfür Folgendes mitbringen: 1-3 Jahre Berufserfahrung im Bereich Data Analytics Abgeschlossenes Studium im Bereich Betriebswirtschaft, Marketing, Medienwissenschaft, Medienmanagement, Medieninformatik, Digitale Medien, Mathematik, Informatik, Statistik oder ähnliches Fähigkeit komplexe, technische Sachverhalte verständlich zu kommunizieren Strukturierte und eigenständige Arbeitsweise mit einem Auge für das Detail Ausgeprägte Kenntnisse im Umgang mit Analyse- & Daten-Tools (Google Analytics, Adobe Analytics), Tag Manager Lösungen (GTM, Tealium, etc.) und Visualisierungs-Tools (Tableau, Power BI, Google Data Studio, etc.) Grundkenntnisse in R, Python, SQL, HTML und JavaScript wünschenswert Verhandlungssichere Deutsch- und Englisch-Kenntnisse Was Dich bei Digital Motion erwartet Flache Hierarchien und eine offene Feedback-Kultur bilden das Fundament für unser teamorientiertes, modernes und agiles Arbeitsumfeld. Hinzu kommen weitere interessante Aspekte und Annehmlichkeiten, wie zum Beispiel: Zentral gelegener Arbeitsplatz im WeWork Hackescher Markt Attraktives Gehaltspaket mit Bonuskomponente Zuschuss zur BVG Monatskarte Flexible Arbeitszeiten und Arbeitsmodelle Vielfältige Möglichkeiten zur gezielten Weiterbildung und -entwicklung Klingt spannend? Dann bewirb Dich mit deinem Xing/LinkedIn Profil oder deinem Lebenslauf. Wir freuen uns darauf, von Dir zu hören!