20 jobs found in North Rhine Westphalia

Job Description We are looking for a data analyst with a solid technical background - a data engineer with a healthy dose of interest in analytics - to help us sort out and make sense of the Uplay PC data behemoth. The Uplay PC team is spread over many Ubisoft studios, with the core team in Malmo, Sweden.   The Uplay PC Data Analyst Wants to UCD PC data analytics data warehousing queue thesis.   He / She wants to work closely with the business and the technical team members to gather and analyze business and technical requirements and wants to develop standards, usage guidelines and procedures for data management tools and protocols. Deploy, grow, and maintain the in-house event-based and backend data. Liaise with the DWH / ETL development team in Chengdu, China, the corporate tools team in Montreal, Canada, and the Uplay PC backend team in Malmo, Sweden. Provide data and analysis upon request and supply to enterprise analysts within Ubisoft. Participate in the full lifecycle of analytical data, from requirements to implementation, maintenance, and usage. Review and recommend emerging technologies and prepare strategies for future products. Optimize performance of the entire pipeline in co-operation with the technical team. Travel requirements: an initial onboarding will happen in Malmo, Sweden, and semi-regular visits to the Uplay PC team in Malmo are encouraged. Qualifications Good knowledge of SQL-based languages ​​(MySQL, MSSQL / transact-SQL, Hive, Experienced in (analytics) scripting languages, search as R or Python. Experienced in DWH, ETLs, pipeline setup, and maintenance. Knowledge of non-related storage technologies (key value stores, object databases, etc.) is a plus. Familiarity with dashboarding / reporting solutions is a must, Tableau and / or Microstrategy a plus. Analytical mind with a problem-solving aptitude. A degree in computer science, engineering or relevant field, or equivalent work experience. Excellent English and communication skills.   Knowledge of Chinese and / or Swedish is a plus. Additional information Your benefits: Flexible work hours External trainings, education in our in-house guilds and knowledge sharing with other project teams Fresh fruits, special conditions for gym membership, support for child care Possibility to lent bikes for free or lease your own bike Subsidized lunch meals, possibility to lent bikes for free or lease your own bike! Share ideas!   = Working in an innovative and international company We are offering highly motivating challenges for true team players with a high level of self-initiative.   If you are passionate about about games and wish to join innovative and diverse game development studio, please apply via our career portal. For further information please check www.bluebyte.com and www.ubisoft.com.

You coordinate the development of technical solutions on our cloud-based and Forrester-certified big data platform. Together with the departments you will find solutions for the implementation of modern BI / Big Data / Analytics approaches and thus help directly our colleagues in the BI and Data Science environment.   You'll also create interactive dashboards for executives and board members. Furthermore, you will be able to carry out ad-hoc analyzes of large databases and conduct them together with your colleagues. With our data scientists you use new methods in the insurance context to help our customers and make processes more efficient. Together with us, you are driving the transformation of AXA into a Data-Driven Company, and you can develop and develop yourself in individual tasks according to your interests and qualifications. That makes us curious Completed study or training, also possible to get involved in a lateral career First professional experience (also in the form of internships) and good know-how in BI / Big Data / Analytics Knowledge of SQL and at least one programming language (Python advantageous) First experience with PowerBI, Spotfire and / or other BI tools advantageous Practical experience with distributed computing systems (Hadoop or similar) and in cloud context (AWS) advantageous. Very willingness to learn, ability to work in a team, fluent German and English skills and fun working in (international) teams with agile working methods Partnership that brings progressIf you want to open up new paths, you have to evaluate what's there, be critical and question things.   You also have to overcome stumbling blocks.   We are looking for analysts and thought leaders who will not be deterred.   Who want to pour their know-how into solutions that bring benefits and advance them.   Which way you and your team choose to achieve this goal is secondary.   As long as the output is right - that's how easy it is.Start a new career chapter with us: what counts for the output, of course, also applies to the input - it is clear that we are always working on being up-to-date in terms of IT and technology.   In an environment in which ideas meet with open ears, projects get started quickly, "monotonous" is a foreign word and there are clear rules for feedback.   After all, criticism has to be on hand - that's part of our appreciation and communication.   Say what you think and what you say.   Of course it also means that we welcome you with open arms, regardless of gender, origin, sexual orientation, disability or other facets. Benefits In order to shape the insurance of the future with our employees, we provide a colorful framework with a wide range of possibilities - including adequate social benefits and various services on site.   In between, quickly do something?   No problem, is allowed.   Quickly come from "A to B"?   Car sharing makes it possible.   Fit and healthy start the day?   Our company health management supports you from prevention to cooperation with health care providers. In addition to an attractive salary, we also offer you various extras and additional services, such as: flexible working hours |   work @ home |   individual promotion |   Lunch Offers |   sports AXA is one of the world's leading insurance companies and asset managers with a focus on Europe, North America and the Asia-Pacific region.   Here in Germany we are one of the largest primary insurers.   We want to steadily expand our position as a driver of innovation in the industry.   But above all, we do everything we can to offer our customers real added value - with first-class service and effective products on the pulse of the times.Bock on new?   Bock on AXA!At AXA, we focus on transparency and an open working environment.   Therefore, we perform pre-employment screening for all candidates who have successfully reached the final stage of the selection process.   We use various criteria to check the applicant's data for accuracy.   The scope of the exam varies depending on the function. Anna Schmidt looks forward to receiving your application stating your availability and salary information. For questions, our recruiting team is at your disposal.   You can reach us by calling +49 221 148 31 111. Further information about your career at AXA can be found at: www.AXA.de/karriere

JOIN OUR TEAM AT BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE. DATA SCIENTIST (M / F / X) DO YOU HAVE PLENTY OF KNOWLEDGE AND WANT TO MAKE A DIFFERENCE? WE OFFER EXCELLENT OPPORTUNITIES FOR PROBLEM SOLVERS. The Deutsche Post DHL Group is the leading mail and logistics service provider for the world.   As one of the planet's largest contractors operating in over 220 countries and territories, we see the world differently.   Join our team and discover how international network that's focused on service, quality and sustainability.   And not just for our customers, but for every member of our team, too. Your tasks As Data Scientist at the Data Analytics Center of Excellence at Deutsche Post DHL Group, you want to work with our operative departments to solve concrete business problems.   In a team of Data Scientists, you will apply mathematical methods as well as time series analysis, research methods and machine learning to answer a wide range of questions.   Tasks might include predicting daily shipment volumes for accurate operational capacity planning, or handling the real-time optimization of costs and utilization of our transport network, which connects more than 200 countries. Specifically, you will support us in strategic and operational data analytics projects.   Taking the business requirements and operational processes into account, you want to be productive of analytical framework for data analytics projects.   You will conduct data analyzes, develop mathematical models, implement prototypes and guide the team conceptually.   You want to interpret modeling results in a business context and discuss with members of top management.   In order to make data-driven decision-making in operations, you will want to build up the methodological skills and apply the knowledge gained from successfully-completed projects. Your profile University degree in Mathematics, Statistics, Physics, Computer Science Practical experience in analyzing complex datasets and building mathematical models Good knowledge of machine learning, statistics and / or mathematical optimization Very good programming skills and / or experience in scripting languages ​​(Python, R or Java) Experience with the following Big Data technologies is a plus: Spark, Hive, Hadoop Very good written and spoken English Comfortable explaining complex analytical and technical content to various audiences Energetic and success-oriented problem-solver Independent ethics, integrity and loyalty, positive can-do attitude Passionate team player Your benefits We offer you excellent employee benefits, a competitive salary package and great development opportunities. Your contact We are happy to answer your question!   Please reach out to Andrea Hofmann, Lead Data Scientist, for Data Science on +49 228 189 93331 and Lisa-Marlen Schöppner for HR related questions via +49 228 189 55345. Interested in this responsible position with its varied tasks?   Please click "Apply" and send us your complete application including cover letter, CV, references and your desired salary.   You can find further information on https://www.dpdhl.jobs/data-science. We are looking forward to your application. CONNECTING PEOPLE.   IMPROVING LIVES. #datasciencejobs

About us LeanIX aspires to become the number one SaaS solution to modernize IT architectures.   And we are on a good way.   Hundreds of well-known brands like adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, so it's a great place to work.   Colleagues from various countries make our vision reality.   Yes, we have to work hard to achieve our ambitious goals.   But we have everything to do so.   We have invested a lot in a working environment that allows everyone to thrive.   We believe in open access to leadership, transparent communication, personal development, a modern air-working environment and world-class teams. POSITION We are looking for a Data Scientist that wants to help us discover the information hidden in vast amounts of data, and help us make smarter.   Your primary focus wants to be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.   Key objective is to improve and extend the use of automated internal A / B testing procedures. WHAT IS WAITING FOR YOU? Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant to building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance WHAT ARE WE LOOKING FOR? Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc. Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow / Keras, etc. Great communication skills Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc. Proficiency in using query languages ​​search as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills, eg Python, Java / JavaScript

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire.   From the sea to outer space, you'll learn and grow, to contribute to the shapes of the world.   Find your future with us. You want to be part of a cross-functional team which is highly interactive and adaptive training / academy management solutions for the aviation field. Participate in the design, architecture and implementation of complex, business critical features of the system work closely with business to identify issues and use data to propose solutions for effective decision making formulate the questions that will help the business and then proceed in solving them merge, manage, interrogate and extract data to supply participate in planning infrastructure and workflow for better data driven decisions, including: data collection program, review and processing of data Work as part of a cross-functional, agile development team embracing scrum approach Actively drive non-functional requirements such as performance, security, continuous integration, migration and compatibility Required skills: Bachelor, Master or equivalent Degree in Computer Science, Information Science, Data Science, Mathematics, Engineering or any relevant Proven experience in big data analytics Experience in machine learning for adaptive learning Experience in implementing recommendation systems Real-world practical experience with machine learning algorithms for classification, regression, clustering, reinforcement learning, dimensionality reduction Knowledge and experience (+5 years) in technologies: Java, R, Python Databases SQL and NoSQL (CouchDB) Version control and continuous integration tools such as Git, Bamboo, Ansible Desired/Optional Skills: Bachelor Degree is required Experience developing for cloud architectures such as Azure or AWS Knowledge of Elastic Search Applied knowledge of data analytics and machine learning in the training field Experience with adaptive training TensorFlow, PyTorch or other data science toolkits This requirement is for an international, locally hired position.   CANDIDATES MUST HAVE CURRENT LEGAL AUTHORIZATION TO WORK IN GERMANY.   BOEING WILL NOT ATTEMPT TO OBTAIN IMMIGRATION AND LAB SPONSORSHIP FOR ANY APPLICANTS.   Make sure you list all of the countries in which you are a citizen.   If you have a work permit, please explain this on the top of your resume.   Benefits and pay are determined by the Boeing US-based payroll. All information will be checked and may be verified.

About Atos Atos is a global leader in digital transformation with 120,000 employees in 73 countries and annual sales of € 13 billion.   As the European leader in Cloud, Cybersecurity and High Performance Computing, the Atos Group provides companies with their Digital Transformation Factory end-to-end solutions for Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace.   In addition, there are services provided by the subsidiary Worldline, the European market leader for payment and transaction services.   With innovative technologies and in-depth industry knowledge, Atos accompanies the digital transformation of customers from all industries.   The group is the worldwide IT partner of the Olympic and Paralympic Games.   Atos operates under the brands Atos, Atos Syntel, Unify and Worldline.   Atos is listed on the Paris Stock Exchange as one of the 40 leading French public companies (CAC40).   More information can be found at www.atos.net. tasks As Big Data Architect (m / w) you coordinate BI projects with well-known national and international customers (TOP 100 in the DAX or authorities environment).   In the project you are responsible for the analysis and the recognition of the wishes and goals of the customer, for the design as well as for the implementation of the architecture in cooperation with the team, which leads you professionally.   We expect from you the draft up to the description of big data solution architectures (Hadoop, data mining, big data, cloud). They design architectural concepts for the customer and constantly show potential for improvement (eg Prediction, Data Quality, Performance ..).   Preparing offers involving a break-down structure based on cost, effort and risk estimates is your responsibility. The responsibility of the system and data architecture according to the required requirements in function and quality as well as if necessary adjustments are part of your tasks.   You move in an expert sales environment (new and existing customers) in which you uhitect (m / w) coordinate BI projects with well-known national and international customers (TOP 100 in the DAX or authorities environment).   In the project you are responsible for the analysis and the recognition of the wishes and goals of the customer, for the design as well as for the implementation of the architecture in cooperation with the team, which leads you professionally.   We expect from you the draft up to the description of big data solution architectures (Hadoop, data mining, big data, cloud). They design architectural concepts for the customer and constantly show potential for improvement (eg Prediction, Data Quality, Performance ..).   Preparing offers involving a break-down structure based on cost, effort and risk estimates is your responsibility. The responsibility of the system and data architecture according to the required requirements in function and quality as well as if necessary adjustments are part of your tasks.   You are in an expert sales environment (new and existing customers) in which you advise our customers and are responsible for invitations to tender and presentations to the department head or company management level.   Furthermore, you will be responsible for communication with customers / Partner clients and will be responsible for announcements and presentations to the department head or company management level.   Furthermore, you will be responsible for communication with customers / partners at the IT management and department level and represent our company in the area of ​​databases and BI. conditions For this position, we require a completed university degree (master's degree or similar) as well as extensive professional experience (> 5 years) or comparable training with many years of professional experience (> 7 years).   They bring in-depth know-how in the areas of Big Data (eg Hadoop, Cloud) or Data Warehousing as well as experience with analysis and data mining tools.   Experience in the field of prediction, churn etc should be available.   Furthermore, it would be desirable if you already worked as a project manager (eg PMI), have gained first management experience and have experience in the GIS environment.   Knowledge of Java architecture is also a prerequisite. A high level of mobility (national) is a prerequisite for you to act in this position.   Independence and self-motivation characterize this function.   Quick understanding of technical aspects as well as customer presentations are among your strengths.   Good German and English skills in writing and language are absolutely necessary.   Team spirit, entrepreneurial thinking, independence and motivation complete your profile. Working in international projects (offshore) is not unknown to you. Additional Information Atos does not differentiate between origin, religion, color, gender, age, disability or sexual orientation.   All decisions throughout the recruitment process are based solely on qualifications, skills, knowledge, experience and relevant business requirements. With the same qualifications, severely disabled applicants and those who are considered equal are preferred. Please note that only complete application documents (including cover letter, curriculum vitae and certificates) received via our online application platform can be taken into account in our selection process. If you have questions about this job offer, please contact Ms. Sabine Kreis at +49 211 399 39004. Your advantages Atos offers many advantages as an attractive employer.   By joining Atos, you will enter into a globally active company in which, in addition to a competitive salary, you will gain further benefits. over 30 days holiday Flexible working personal development - Career paths and perspectives We are looking forward for your online application!

The Candidate The Spearhead in the Domain of Data Acquisition, Storage and Analysis You are responsible for the development of our business You are working on conceptualizing and developing IT, database and analysis structure to process and analyze data in order to design product design, marketing, sales and business development in different aspects You decide on data points, methodology and infrastructure in close cooperation with the product and application development as well as the web development team Qualifications Probably multi-year experience in the field of data science in a software-based company A strong background in computer science and mathematical and statistical approaches to data handling, including big data / machine learning Experienced in data structuring and database systems Good analytical skills and knowledge of analysis software Relevant scripting, programming and database languages ​​know-how and the ability to quickly move to new technical foundations when required Bonus skill: Experience with multi-platform desktop (Mac / Win) software development and abstraction frameworks (eg Qt, Electron or others) Profound communication skills both on technical and management level and on the ability to collaborate and present within and between both levels Good knowledge of German and English both written and spoken Work Environment A growing international team of professionals Anchored at the product engineering team A well-connected and modern workplace Flexible working hours Free drinks in the office and a very good infrastructure for self-sufficiency Subsidizing a company pension Job ticket at a discounted price How to apply Please send us your digital CV application along with a cover letter, salary expectations and your earliest starting date by e-mail. We look forward to hearing from you. Brainworx Audio GmbH Julia Buchholz An der Schusterinsel 6 51379 Leverkusen

You're smart and know that in today's world, a job is more than a job - it's about working in a field that inspires you.   Esprit a fantastic brand - and place to work.   Join the Esprit Family and be part of an international lifestyle company Where you can make a positive impact on the world of fashion. We are looking for business analyst omnichannel (m / f / d) to support our team.   (ID 5200) What you'll do: Continuous improvement of existing BI reporting tools (eg Arvato BI, Esprit BI, MMT) Development of new reports and optimization of existing reports from the e-shop / marketplace business area, as well as with respect to omnichannel tools (eg traffic source report, e-shop performance report, online marketing efficiency report ) Control and optimize business performance of marketplace models (eg Amazon, Otto, Zalando) Continuous tracking of our performance of media spendings (ROI) and our e-shop traffic Support the controlling of our omnichannel plan in close cooperation with respective teams (eg MTM, omnichannel services) Provide the respective teams and senior management with business cases and data analysis (eg markdown analysis (e-shop and market places business), customer profitability, postage costs) Structural work on business drivers and KPIs to steer business performance Here's what you'll need: Business administration degree focusing on controlling with a wide professional experience in a comparable position Reporting experience Experience in the e-commerce field Good command of written and spoken German and English Microsoft Office user knowledge SAP BW Well-developed analytical ability Are you a good match for this job? Then please submit an application with your salary expectations and an indication of your earliest starting date.

JOIN OUR TEAM IN BONN (GERMANY) FOR A FULL-TIME (40 HOURS PER WEEK) POSITION, STARTING AS SOON AS POSSIBLE. Data Analyst (m / f / d) TODAY, YOU'RE STIMULATING THE WAY A CUSTOMER SUCCEEDS. TOMORROW, YOU'RE SHAPING THE WAY THE WORLD WORKS. At DHL, people mean the world to us.   That's why our goal has always been to attract and retain the best talent the world over.   We provide challenge and opportunity for personal and professional development.   Sharing the pride of building THE LOGISTICS COMPANY FOR THE WORLD. Customer Solutions & Innovation (CSI) is DHL's cross-divisional commercial and innovation unit.   We are responsible for managing about 100 of DHL's largest and most strategically important companies providing them with sector expertise, best in class account management and most innovative products & solutions. We are looking for a passionate Data Analyst (m / f / d).   The successful candidate wants to turn data into information, into insight and into business. Your tasks Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases / data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing reports to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Your profile Technical expertise regarding data models, database design development, data mining and segmentation techniques, Strong knowledge and experience with reporting packages (business objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) as well as knowledge of R and Python Knowledge of statistical datasets (Excel, SPSS, SAS, etc.) Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information Your benefits We offer excellent employee benefits, a competitive salary package and great development opportunities. Your contact Ms. Anna Kortmann is happy to answer your questions on 0049 (0) 228 182 47712. Interested in this responsible position with its varied tasks?   Please click "Apply Here" and send us your complete application, including a cover letter, CV, references, your desired salary and your earliest possible starting date.   You can find further information at dpdhl.jobs.

Mintel's Consumer Research & Data Analytics team in Dusseldorf.   The role of someone who already has good knowledge of designing surveys, using statistical software and providing analysis of data.   Mintel's consumer reports primarily on the food & beverage, beauty and lifestyle sectors. Mintel's in-house analyst teams manage their research projects from questionnaire design through fieldwork and data analysis. Responsibilities Designing quantitative consumer surveys: Working with report analysts to design insightful consumer questionnaires across a variety of European markets. Managing supplier relationships:   Liaising daily with internal and external suppliers. Analyzing data:   Using statistical software to analyze and interrogate quantitative consumer research data. Working with other Mintel teams:   providing expertise in consumer research and offering statistical support. Maintaining internal databases:   Gathering market data through secondary research. Who we are looking for The successful candidate will have: At least 2 years previous experience in a market research role Experience of designing and analyzing quantitative consumer questionnaires and data Knowledge of SPSS or R (or similar statistical software) Knowledge of / interest in qualitative research techniques Great organizational / time management skills The ability to communicate difficult concepts in a clear, straight forward way Some experience with secondary data sources, such as industry or government data A high degree of numeracy Fluency in German and English

You want to be part of an international high profile team with the unique opportunity to gain oversight of the whole company - in Germany as well as in international locations of Uniper.   In Internal Audit We are committed to developing and offering opportunities to work in a cross-segment working environment.   Along your personal path, we'll give you all the support you need to develop your skills and achieve your ambitions. What we offerAt Uniper, we believe in rewarding our employees for their hard work.   We offer competitive salaries, company pensions and performance related benefits.How we workOur people are key to our success.   Our goal is to provide you with a supportive and entrepreneurial work environment. This allows our people to take responsibility and make best use of their skills.   Together, we want to shape the future of energy. What are we looking for Work on digital use cases with business units, data scientists and developers Collect large amounts of unruly data from our power stations and transform them into meaningful information Solve business-related problems using data-driven techniques Support and advice Internal audit and our clients on the journey of digitalization with focus on process mining Work with a high degree of independence on a variety of challenging assignments Who we are seeking University degree in computer science or business informatics, business or engineering sciences or comparable qualifications Excellent technical knowledge proven in professional or private data analytics projects Enthusiasm for the opportunities of digitalization Good knowledge of data base resp.   Programming languages ​​SQL, Python and R Proven project management competencies Hands-on mentality and entrepreneurial personality is enthusiastic about constantly changing challenges Self-contained, result-oriented and cooperative work style, characterized by high self-motivation Team spirit with a pronounced service and customer orientation Excellent presentation and communication skills Willingness to travel due to international business environment (approx 20%) Business fluent in English and good understanding of written and spoken German About usWe have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions.   Uniper has the equipment, knowledge and skills to succeed as an established energy business. We have various expertise in the construction, management and operation of large power plants, as well as in the optimization and risk management of assets and contracts.   At Uniper, people work with one common goal: The reliable supply of energy.Uniper is an equal opportunity employer and a positive encouragement application from a suitably qualified and all-encompassing candidate, regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, belief or marital status.   We actively promote diversity, equality and flexible working.

You ... are looking for a motivating atmosphere in a fast-growing start-up company are interested in IoT time series data, SaaS and data analysis in a young interdisciplinary team are keen to work in a data-driven company where data science is our core product you are interested in big machines You should bring ... very good programming skills, preferrably in Python full stack of data science skills, from data processing to model-building and model deployment experience in professional software development a graduate degree in a quantitative field a keen desire to learn, a self-starter attitude and the ability to thrive in an interdisciplinary and diverse environment Advantages (but not required) would be ... experience with machine learning, time series and deep learning algorithms for machine sensor data data pipeline expertise - database concepts, container technology (Docker), cloud computing experience in microservice architecture, agile methods, DevOps tools (GitLab) We want you to feel comfortable ... attractive working atmosphere with all-round service free choice of working environment (Linux, Windows or Mac) individual training, conferences, coding sessions flexible working hours cool cutting-edge projects with leading international industry partners industry oriented salary A unique opportunity is waiting for you ... We are building the next generation of data analysis for mining machinery.   Whether above or below ground: our products analyze and control the largest machines in the world.   Develop the future of mining together with engineers, data scientists and IT specialists. Next steps ... Please send us your CV, cover letter, if available, your portfolio. We are looking forward to your application!

Du suchst eine neue Herausforderung und möchtest Dich persönlich weiterentwickeln? Dann bist Du bei uns genau richtig. Werde Teil des Wikinger-Teams! Dein Profil Du hast bereits erste Erfahrung in der Web- oder Datenanalyse gesammelt  Customer Journey, Kohorten- und Korrelationsanalysen sind dein täglich Brot und Grundlage für Deine Empfehlungen an Stakeholder Du hast bereits mit folgenden (ähnlichen) Programmen gearbeitet oder kannst diese zeitnah lernen: Data Studio, Google Analytics, Tag Manager Du besitzt ein grundlegendes Verständnis für SQL-Datenbanken. Vielleicht hast Du sogar Kenntnisse in Metabase oder Snowflake  Du kannst einfach komplexe Dinge durch Reports oder Dashboards visualisieren und bist dabei business-minded Interesse an Aktivreisen bzw. Wanderaffinität ist ein Plus Gute Deutschkenntnisse werden vorausgesetzt Deine Aufgaben   Du bist ein Data Alchimist und kümmerst dich um die Veredlung unserer Web- und Kundenanalyse. Hierbei trackst du Conversion Funnel, bewertest Kampagnen Effizienz und analysierst Kundenverhalten.  Du bist ein Advokat für datengetriebenes Arbeiten und verbreitest dabei gute Laune.   Wir bieten Dir Eine anspruchsvolle und abwechslungsreiche Arbeit als Schnittstelle zwischen Marketing und IT Neben einer kompetitiven Vergütung mit 13 Monatsgehältern erhältst Du vermögenswirksame Leistungen und eine AG-finanzierte Altersvorsorge Flexible Arbeitszeiten durch das Gleitzeitprinzip Kostenlose Gesundheits- und Sportprogramme 30 Tage Jahresurlaub und ein Development Budget  Gratis Obst, Wasser und Tee, die Möglichkeit unseren hauseigenen Fitnessraum und die Wikinger-Lodge zu nutzen Ein sehr gutes Betriebsklima sowie die Vorteile der Tourismusbranche  Du fühlst Dich angesprochen und bist davon überzeugt, ins Wikinger-Team zu passen? Dann schick uns Deine ausführlichen Bewerbungsunterlagen mit Angabe Deines möglichen Eintrittsdatums und Deiner Gehaltsvorstellung per Mail an martina.kischnick@wikinger.de . Wir freuen uns auch über Bewerbungen von Schwerbehinderten, die eine sitzende Bürotätigkeit ausüben können.

Du willst für die Data & Analytics Unit einer der Top 10 Fullservice Agenturen arbeiten? Du möchtest gemeinsam mit Deinem Team neue Daten, Marketing- und Analyse-Strategien entwickeln und mit abwechslungsreichen Tools und Aufgabenstellungen arbeiten? Du bist engagiert, proaktiv und ergebnisorientiert? Du bist analytisch, nah am Kunden und möchtest durch Deine Arbeit messbare Erfolge feiern? Du möchtest mit datenbasiertem Marketing die Nutzer besser kennenlernen und konvertieren? Du verstehst Daten-Projekte als Basis der digitalen Weiterentwicklung und möchtest für Deine Kunden das passende Konzept entwickeln und umsetzen? Dann bist Du in der Data & Analytics Unit der TWT genau richtig! Deine Aufgabe Verantwortung und Durchführung von Beratungsprojekten zur erfolgreichen Einführung und nachhaltigen Nutzung von Email Marketing und Marketing Automation Tools  Eigenständiger, vertrieblicher Ausbau der Kunden auf strategischer Ebene mit dem Fokus auf datengetriebenes Marketing und Entscheidungsprozesse Eigenständige Vor- und Nachbereitung sowie Durchführung von Workshops und Anwenderschulungen  Durchführung von Anforderungsaufnahmen und Umsetzung von Marketing- und Analyse-Konzepten für unsere Kunden Entwicklung und Umsetzung von Personalisierungsstrecken sowie Aufbereitung der Ergebnisse Analyse und Monitoring unserer Kunden-Webseiten und Online-Kampagnen sowie Entwicklung und Messung von aussagekräftigen Steuerungs-Kennziffern Managementgerechte Aufbereitung, Erläuterung und Interpretation von Erkenntnissen und Empfehlungen in Form von aussagekräftigen Präsentationen Zusammenarbeit mit der Software-Entwicklung, z.B. zur Integration des Tracking-Codes, Anbindung von Drittsystemen, etc. Das bringst Du mit Erfolgreich abgeschlossenes, fachbezogenes Studium, eine Ausbildung oder vergleichbare Qualifikation Mehrjährige Berufserfahrung in der Email Marketing und Marketing Automation Beratung,  Sehr gute Kenntnisse und sicherer Umgang mit professionellen Marketing-Tools (Salesforce Marketing Cloud, Hubspot, Episerver Campaign, Inxmail, Evalanche, Elaine, u.ä.) Kenntnisse im Umgang mit professionellen Digital-Analytics-Tools (Adobe, Google Analytics, econda, etracker, Webtrekk, Webtrends, u.ä.) Sehr gute Anwenderkenntnisse in Excel und Powerpoint bzw. Keynote für die Erstellung von Dashboards und weiterführenden Analysen Grundlegende Kenntnisse der gängigen, aktuellen Webtechnologien (HTML, CSS, PHP) Ausgeprägte analytische Fähigkeiten und eigenverantwortliche, zielorientierte Arbeitsweise Kundenorientiertes Handeln und professionelles, souveränes Auftreten  Sehr gute Fähigkeiten in Präsentation, Moderation, Verhandlung und Konfliktmanagement Vertraut im Umgang mit anspruchsvollen Kunden und Spaß an der Begeisterung und Gewinnung von Kunden sowie dem Erschließen von Marktpotenzialen Teamfähigkeit, schnelle Auffassungsgabe und Kommunikationsstärke Verhandlungssichere Englischkenntnisse wünschenswert Das bieten wir Kurze Entscheidungswege, flache Hierarchien und aktiv gelebte Open-Door-Policy Enge und vertrauensvolle Zusammenarbeit mit Deinem Vorgesetzten und der Führungsebene Möglichkeit für Dich Strukturen und Prozesse aktiv mitzugestalten Leistungsgerechtes Vergütungspaket Spannende Projekte und Aufgaben, viel Abwechslung und Verantwortung Namhafte nationale und internationale Kunden aus verschiedenen Branchen Internationale Partnerschaften: Google, Adobe und Facebook Entwicklungsmöglichkeiten: Interessante Karriereperspektiven in einer Fach- oder Führungs-Aufgabe und gezielte Weiterbildung in der TWT Academy Fachlicher Austausch und Dialog: Nette Kollegen und gute Köpfe Wertschätzung: frisches Obst und kostenfreie Getränke, Massagen, Entspannungs-Kurse, Fitness-Raum, Rückenschule, etc. Spaß: Regelmäßige TWT Events wie Sommerfest, Oktoberfest, Karneval, Grillen, Poker-Night, LAN-Party und Weihnachtsfeier Team-Spirit: TWT Kickerliga, Sporttreffs wie Fußball, Laufen, Badminton, Tanzen, sowie Team-Events und vieles mehr *Diversity: TWT ist bunt und das ist auch gut so. Wir freuen uns über jede Bewerbung jedweder geschlechtlichen Identität und ausdrücklich auch von geeigneten schwerbehinderten oder gleichgestellten digitalen Köpfen.

Du bist engagiert, proaktiv und ergebnisorientiert? Werde Teil der Digital Analytics Unit in einer der Top 10 Fullservice Agenturen und entwickele gemeinsam mit Deinem Team und abwechslungsreichen Tools und Aufgabenstellungen neue Analyse-Strategien! Du bist analytisch, verstehst digitale Wertschöpfungsketten und kannst auf Basis von Digital-Analytics Daten Optimierungs- und Weiterentwicklungs-Ideen und Konzepte erarbeiten? Du willst mit uns effektive und nachhaltige Online-Projekte und Geschäftsmodelle verwirklichen? Du willst am Puls der Zeit arbeiten und die neuesten Entwicklungen der digitalen Analyse mitgestalten? Dann bist Du im Competence Field Data & Analytics der TWT Interactive genau richtig Deine Aufgabe Eigenständige Vorbereitung, Durchführung und Nachbereitung von Schulungen sowie Anforderungs- und KPI Workshops
 Übersetzung der Business Anforderungen unserer Kunden in Tracking- und Taggingkonzepte
 Einrichtung und Weiterentwicklung der gängigen Analyse-Tools unserer Kunden auf einem technisch und analytisch anspruchsvollen Level
 Entwicklung von KPI- und Visualisierungs-Konzepten zur Integration der Daten in die unternehmerischen Entscheidungsprozesse
 Analyse und Monitoring unserer Kunden-Webseiten und Apps sowie Ableitung von konkreten Handlungsempfehlungen
 Überwachung und Optimierung von Online-Marketing-Maßnahmen unter ROI- und Performance-Gesichtspunkten insbesondere hinsichtlich der Conversion und User Experience
 Managementgerechte Aufbereitung, Präsentation, Erläuterung und Interpretation von Analyseergebnissen in Form von aussagekräftigen Digital Analytics Berichten und Executiv Summeries
 Einführung und Konzeption von Dashboard- und Reporting-Lösungen
 Entwicklung von Testszenarien (A/B & multivariate Tests) und Aufbereitung der Testergebnisse
 Fachliche Unterstützung der Teammitglieder bei komplexen Aufgabenstellungen
 Zusammenarbeit mit der Software-Entwicklung, z.B. zur Integration des Tracking-Codes, Anbindung von Drittsystemen, etc.
 Unterstützung bei der Weiterentwicklung des Competence Field Data & Analytics Das bringst Du mit Erfolgreich abgeschlossenes, fachbezogenes Studium, eine Ausbildung oder vergleichbare Qualifikation
 Mehrjährige Berufserfahrung im Bereich der Digital-Analyse 
 Fundierte Kenntnisse und sicherer Umgang mit professionellen Digital-Analytic-Tools (Adobe, Google Analytics, econda, etracker, Webtrekk, Webtrends, u.ä.) sowie 
Tag-Management-Systemen (Google Tag Manager, Tealium IQ, u.ä.)
 Sehr gute Anwenderkenntnisse in Excel und Powerpoint bzw. Keynote für die Erstellung von Dashboards und weiterführenden Analysen
 Gute Kenntnisse der gängigen, aktuellen Webtechnologien (HTML, CSS, JavaScript, Ajax, PHP, Java, XML)
 Geduld, Ausdauer, Gründlichkeit bei der Analyse komplexer Zusammenhänge und Reports
 Fähigkeit komplexe Zusammenhänge nachvollziehbar zu präsentieren
 Ausgeprägte analytische Fähigkeiten und eigenverantwortliche, zielorientierte Arbeitsweise
 Kundenorientiertes Handeln und professionelles, souveränes Auftreten 
 Teamfähigkeit, schnelle Auffassungsgabe und Kommunikationsstärke 
Verhandlungssichere Englischkenntnisse wünschenswert Das bieten wir Kurze Entscheidungswege, flache Hierarchien und aktiv gelebte Open-Door-Policy Enge und vertrauensvolle Zusammenarbeit mit Deinem Vorgesetzten und der Führungsebene Möglichkeit für Dich Strukturen und Prozesse aktiv mitzugestalten Leistungsgerechtes Vergütungspaket Spannende Projekte und Aufgaben, viel Abwechslung und Verantwortung Namhafte nationale und internationale Kunden aus verschiedenen Branchen Internationale Partnerschaften: Google, Adobe und Facebook Entwicklungsmöglichkeiten: Interessante Karriereperspektiven in einer Fach- oder Führungs-Aufgabe und gezielte Weiterbildung in der TWT Academy Fachlicher Austausch und Dialog: Nette Kollegen und gute Köpfe Wertschätzung: frisches Obst und kostenfreie Getränke, Massagen, Entspannungs-Kurse, Fitness-Raum, Rückenschule, etc. Spaß: Regelmäßige TWT Events wie Sommerfest, Oktoberfest, Karneval, Grillen, Poker-Night, LAN-Party und Weihnachtsfeier Team-Spirit: TWT Kickerliga, Sporttreffs wie Fußball, Laufen, Badminton, Tanzen, sowie Team-Events und vieles mehr *Diversity: TWT ist bunt und das ist auch gut so. Wir freuen uns über jede Bewerbung jedweder geschlechtlichen Identität und ausdrücklich auch von geeigneten schwerbehinderten oder gleichgestellten digitalen Köpfen. 

Du bist wissensdurstig und willst Dich analytisch weiterentwickeln? Du verstehst Web-Analyse als Herzstück einer erfolgreichen Online-Strategie, um Unternehmen zu helfen den optimalen Weg für ihr Business zu finden? Du bist analytisch, verstehst digitale Wertschöpfungsketten und kannst auf Basis von Digital-Analytics Daten Optimierungs- und Weiterentwicklungs-Ideen und Konzepte erarbeiten? Du willst mit uns effektive und nachhaltige Online-Projekte und Geschäftsmodelle verwirklichen? Du willst am Puls der Zeit arbeiten und die neuesten Entwicklungen der digitalen Analyse mit gestalten? Dann bist Du im Competence Field Data & Analytics der TWT Interactive genau richtig! Deine Aufgabe Unterstützung bei der Einführung und Beratung der gängigen Analyse und Tag Management Systeme unserer Kunden 
 Support der Kunden bei Analytics-Herausforderungen im Daily Business
 Administration und Betreuung der Kundensysteme (Webanalyse, Tag Management, Personalisierung und Testing)
 Übersetzung der Business Anforderungen in Reports und Dashboards
 Bewertung und Monitoring unserer Kunden-Webseiten und Online-Kampagnen 
 Ableitung von Optimierungspotenzialen und konkreten Handlungsempfehlungen für unsere Kunden
 Umsetzung von Testszenarien in A/B Test-Systemen und Aufbereitung der Ergebnisse
 Aufbereitung von Analyseergebnissen und Handlungsempfehlungen in Form von aussagekräftigen Digital Analytics Berichten und Executiv Summeries
 Einführung und Konzeption von Dashboard- und Reporting-Lösungen
 Zusammenarbeit mit der Software-Entwicklung, z.B. zur Integration des Tracking-Codes, Anbindung von Drittsystemen, etc. Das bringst Du mit Erfolgreich abgeschlossenes, fachbezogenes Studium, eine Ausbildung oder vergleichbare Qualifikation
 Erste Berufserfahrung im Bereich der Web-Analyse 
 Sicherer Umgang mit professionellen Digital-Analytic-Tools (Adobe, Google Analytics, u.ä.) sowie Tag-Management-Systemen (Google Tag Manager, Tealium IQ, u.ä.)
 Sehr gute Anwenderkenntnisse in Excel und Powerpoint bzw. Keynote für die Erstellung von Dashboards und weiterführenden Analysen
 Kenntnisse der gängigen, aktuellen Webtechnologien (HTML, CSS, JavaScript, Ajax, PHP, Java, XML)
 Spaß und Sorgfalt bei der Analyse komplexer Zusammenhänge und Reports
 Fähigkeit komplexe Zusammenhänge nachvollziehbar zu präsentieren
 Ausgeprägte analytische Fähigkeiten und eigenverantwortliche, zielorientierte Arbeitsweise
 Teamfähigkeit sowie Kunden- und lösungsorientiertes Handeln
 Gute Englischkenntnisse  Das bieten wir Umfassende, strukturierte Einarbeitung und Begleitung durch unser Mentorenprogramm Regelmäßige Gespräche zur individuellen Weiterentwicklung Professionelles Training und ausgewählte Schulungen im Rahmen der TWT Academy Unbefristeter Arbeitsvertrag Moderne Entwicklungs-Infrastruktur (Bitbucket Server, Bamboo, JIRA, Confluence, Unit Tests) Einsatz von State-of-the-Art Technologien Spannende Projekte und Aufgaben, viel Abwechslung und Verantwortung Namhafte nationale und internationale Kunden aus verschiedenen Branchen Internationale Partnerschaften: Google, Adobe und Facebook Entwicklungsmöglichkeiten: Interessante Karriereperspektiven in einer Fach- oder Führungs-Aufgabe und gezielte Weiterbildung in der TWT Academy Fachlicher Austausch und Dialog: Nette Kollegen und gute Köpfe Wertschätzung: frisches Obst und kostenfreie Getränke, Massagen, Entspannungs-Kurse, Fitness-Raum, Rückenschule, etc. Spaß: Regelmäßige TWT Events wie Sommerfest, Oktoberfest, Karneval, Grillen, Poker-Night, LAN-Party und Weihnachtsfeier Team-Spirit: TWT Kickerliga, Sporttreffs wie Fußball, Laufen, Badminton, Tanzen, sowie Team-Events und vieles mehr *Diversity: TWT ist bunt und das ist auch gut so. Wir freuen uns über jede Bewerbung jedweder geschlechtlichen Identität und ausdrücklich auch von geeigneten schwerbehinderten oder gleichgestellten digitalen Köpfen.

Who we are: parcIT is one of the leading providers of software and methodology services for bank management, risk management and rating procedures in Germany.   We develop solutions for the cooperative financial network as well as for private banks at the interface between bank management and IT in the digitization age.   As a subsidiary of one of the largest data centers in Germany, we create jobs very sustainably and with great security for all.   With us you will find creative freedom, flat hierarchies and certainly no dress code. What to Expect:   A Team of 200 Engaged Colleagues and ... Development of credit scoring models and other data science applications for use in banks Further development of the methods and techniques used Preparation and analysis of the data of over 20 million customers Visualization of the results of complex analyzes and the developed models Presentation of the results to experts from banks and associations Continuous support of the developed models Development of risk models for the Cooperative Financial Group and moreover customized Opportunities for professional and personal development in an exciting task environment a friendly, friendly corporate culture with always open doors, short decision-making channels and room for individuality Self-responsibility as well as cross-cutting and interdisciplinary working with flexible working hours, suitable for every life model, a trusting and active cooperation, which we also maintain away from the desk an attractive workplace in the center of Cologne in a modern design, with small office units, own fitness area and a parent-child Office sustainable mobility with the free job ticket What distinguishes you:   analytical thinking and ... an academic degree in computer science, math or science advanced knowledge in the application and programming with R and / or Python ideally experience in dealing with (Postgre) SQL databases Knowledge in dealing with common machine-learning-methods Passion in analysis and visualization of complex facts as well as interpretation of the results in the business context High quality awareness, paired with pragmatism and flexibility Own initiative, creative will as well as fun in the development of future-oriented solutions Openness for new topics as well as Willing to develop further A marked service and customer orientation Communication skills and enjoyment of working as a team You will find yourself here again? Then we would like to meet you and invite you for a coffee in the heart of Cologne. Apply now via the "Apply Now" button.   If you have any questions, please do not hesitate to contact Ms. Loevenich.

Anbieter Fraunhofer-Institut für Produktionstechnologie IPT Unser Profil Das Fraunhofer IPT erarbeitet Systemlösungen für die vernetzte, adaptive Produktion. Unsere Auftraggeber und Kooperationspartner kommen aus der gesamten produzierenden Industrie - aus der Luft- und Raumfahrttechnik, dem Automobilbau und seinen Zulieferern, dabei vor allem aus dem Werkzeug- und Formenbau, der feinmechanischen und optischen Industrie, aber auch aus den Life Sciences und vielen anderen Branchen. Ihr Profil Ein abgeschlossenes wissenschaftliches Hochschulstudium der Fachrichtung Data Science, Mathematik, Informatik, Statistik oder vergleichbare Qualifikationen und Erfahrungen im Bereich Data Analytics Sie sind sehr gut vertraut mit mathematischen Methoden der Auswertung und Interpretation von Daten und Zeitreihen sowie Methoden des Maschinellen Lernens Sie haben Erfahrung mit aktuellen Tools im Umfeld von Big Data und Machine Learning, z. B. Hadoop, TensorFlow, Spark ML, Torch, Caffe, Python, R - Sie begeistern sich für technologie- und datenorientierte Aufgabenstellungen in der Produktion Sie arbeiten gerne im Team und haben Spaß daran, sich in einem agilen und wachsenden Arbeitsumfeld aktiv einzubringen Eine eigenverantwortliche, organisierte Arbeitsweise sowie analytische Fähigkeiten - Sehr gute Deutsch- und Englischkenntnisse Ihre Aufgaben Sie entwickeln eigenständig Anwendungen für das Industrial Internet of Things (IIoT) zur Analyse von Produktionsdaten mit dem Ziel der Modellierung und adaptiven Regelung von Fertigungsprozessen. Sie bauen Strukturen im Sinne von Big Data auf und programmieren Machine-Learning- sowie KI-Algorithmen zur Erstellung von Prognosemodellen für Prozessketten. In enger Zusammenarbeit mit unserem interdisziplinären Team identifizieren Sie neue Ansätze zur Datenanalyse und erarbeiten hieraus Optimierungspotenziale für unsere Auftraggeber aus Industrie und Forschung. - Entwicklung zukünftiger Data-as-a-Service-Lösungen im Umfeld der industriellen Produktion - Zusammenführung von multiplen Datenquellen und -modellen sowie Etablierung von Datenströmen für edge- und cloudbasierte Plattformen Aufbau und Weiterentwicklung eines agilen Datenmanagements zur Gestaltung von Fertigungsprozessketten in Kooperation mit Lösungsanbietern aus der Industrie - Entwicklung von datenbasierten Prognose- und Optimierungsmodellen für verschiedene Fertigungsverfahren in enger Zusammenarbeit mit unseren Prozessspezialisten Was Sie erwarten können: Abwechslungsreiche Aufgaben in innovativen Technologieprojekten an der Schnittstelle von IT und Produktion Eine professionelle und kollegiale Arbeitsatmosphäre in einem interdisziplinären Team Eigenverantwortliche Projektbearbeitung und die Chance, früh Verantwortung zu übernehmen Gestaltungsraum zur Umsetzung eigener Ideen - Vielfältige Möglichkeiten für Ihre persönliche Weiterbildung und -entwicklung Gelegenheit zur Promotion an der RWTH Aachen Unser Angebot Die Stelle ist zum nächstmöglichen Zeitpunkt zu besetzen und befristet zunächst auf 2 Jahre. Es besteht die Möglichkeit der Verlängerung. Es handelt sich um eine Vollzeitstelle. Auf Wunsch kann eine Teilzeitbeschäftigung ermöglicht werden. Eine Promotionsmöglichkeit besteht. Die Eingruppierung richtet sich nach dem TVöD. Fraunhofer ist die größte Organisation für anwendungsorientierte Forschung in Europa. Unsere Forschungsfelder richten sich nach den Bedürfnissen der Menschen: Gesundheit, Sicherheit, Kommunikation, Mobilität, Energie und Umwelt. Wir sind kreativ, wir gestalten Technik, wir entwerfen Produkte, wir verbessern Verfahren, wir eröffnen neue Wege. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt. Wir setzen auf Vielfalt und berufliche Chancengleichheit. Durch Angebote wie flexible Arbeitszeiten, Eltern-Kind-Büro und Notfallbetreuung unterstützen wir unsere Mitarbeitenden bei der Vereinbarkeit von Privatleben, Familie und Beruf. Die nachhaltige Erhöhung des Anteils von Frauen in der Wissenschaft ist unser erklärtes Ziel.

Overview / Overview HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands.   Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with big business partners.   Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries.   HAVI's supply chain services are complemented by our affiliated company The Marketing Store.   HAVI has a new project called ENABLE to replace legacy solution by S / 4 HANA1809.   For more information, please visit HAVI.com. Responsibilities / tasks Support the design of master data objects, processes and tools as well as management methods, procedures and maintenance Facilitate the master data frameworks and governance concept with expertise and guidance Ensure flawless running data flows through all interfaces Assist global initiatives and product implementations Translate future-state business capabilities and requirements into S4 / HANA solution requirements Proactively propose efficient enhancements for S4 / HANA master data solutions Verify and valuate technical and functional documentation related to master data management Assist Solution Architect and Business Lead Enable Master Data Governance (MDG) Desired Skills & Experience / Qualifications & Experiences University degree preferred 3+ years of professional experience in master data management / governance 5+ years of experience at least two IT solution development disciplines focusing on business perspective Know how in establishing and using global master data templates and systems Advanced knowledge in SAP FI / SD / MM and MS Excel Analysis capabilities and understanding of agile project methods and processes Proven MDG understanding as well as advanced experience in MDG implementation and roll outs Business process knowledge within Logistics / Supply Chain Management Benefits / Benefits Varied and interesting field of work Possibility of turning your own ideas into success Collegial working atmosphere Exciting international projects within the corporate group Contact Information / Contact Interested?   We look forward to receiving your expressive application via our online application

About us LeanIX aspires to become the number one SaaS solution to modernize IT architectures.   And we are on a good way.   Hundreds of well-known brands like adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, so it's a great place to work.   Colleagues from various countries make our vision reality.   Yes, we have to work hard to achieve our ambitious goals.   But we have everything to do so.   We have invested a lot in a working environment that allows everyone to thrive.   We believe in open access to leadership, transparent communication, personal development, a modern air-working environment and world-class teams. POSITION We are looking for a Data Scientist that wants to help us discover the information hidden in vast amounts of data, and help us make smarter.   Your primary focus wants to be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.   Key objective is to improve and extend the use of automated internal A / B testing procedures. WHAT IS WAITING FOR YOU? Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant to building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance WHAT ARE WE LOOKING FOR? Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc. Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow / Keras, etc. Great communication skills Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc. Proficiency in using query languages ​​search as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills, eg Python, Java / JavaScript