101 Statistics jobs

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers The finance function is currently undergoing a significant transformation to a manager of financial data that provides insightful information to the entire business. Our dedicated team of the Financial Accounting Advisory Services (FAAS) practice supports our clients on this transformation by advising on the implementation of a broad range of new digital technologies such as process mining, robotics process automation or advanced analytics. For our fast growing team we are looking for a Senior Consultant, based in our Zurich office, motivated to develop and implement digital solutions in a fast moving environment. Tasks that you promote Support in developing our service portfolio and executing the go-to-market activities Taking a project owner role and link team leadership and the data scientists Be responsible for delivering digital transformation FAAS engagements and for fulfilling a PMO role Lead small teams of Consultants in internal and external projects with a holistic approach Working with an agile project management approach like scrum and design thinking Ensure work is delivered in a timely manner and in compliance with regulatory requirements Recognize the client’s ecosystem to identify his needs  Work with other service lines and subject matter experts in providing an integrated service delivery across functions in an international team to meet the clients’ high expectations Learn on-the-job and share your ever growing knowledge with the team and within the network Your profile to succeed together Experience and interest in new digital solutions (such as Robotics, Process Mining, Data Analytics and Machine Learning) and the finance transformation, incl. ability to identify and communicate relevant trends and developments Bachelor or Master degree (preferred in Accounting/Finance or Business Information Technology) 3 to 5 years working experience at an international consulting organization or in a software company. Experience in project management and the PMO role with agile approaches like scrum and design thinking Proactive, flexible and team-oriented from concept and design through to implementation of projects. Intellectual curiosity and willingness to go “the extra mile” Basic SAP and programming language knowledge Ability to build your relevant internal and external networks in a fast-paced and international environment investing in sustainable relationships English is a prerequisite, German and French are a plus   More opportunities for your development   Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.   We are looking forward to receiving your application Do the next step and apply for this position online. Ref No: SWI000IM

Ihre tägliche Anforderung   Datenanalyse, Datenextrahierung, Datenvisualisierung sowie die Datenlieferung von (Offline-) Services nach gesetzlichen Vorgaben Selbständige Qualitätchecks vor der Datenlieferung und Kommunikation an Kunde, Fachbereich und Management Begleitung übergreifender Projekte unter Bezug des Advanced Analytics Bereichs mit Scrum als Entwicklungsmethode Durchführen von Machbarkeitsstudien, Tests und Pilotprojekten Enge Zusammenarbeit mit Fachbereichen, externen Partnern und Lieferanten  Als Data Analyst verfügen Sie über folgende Qualifikationen und Erfahrungen : Abgeschlossenes technisches Studium (ETH, TU, FH, TS) in (Wirtschafts-)Informatik oder Naturwissenschaften mit einem Flair für operative Prozesse Mehrjährige Berufserfahrung in vergleichbarer Funktion Sehr gute Kenntnisse in MS Office Applikationen, Access, SQL-Server Management Studio, VBA, Python, R, sowie Erfahrung in FastStats von Vorteil Ausgeprägtes analytisches und konzeptionelles Denkvermögen Teamorientierung mit ausgeprägter Kunden- und Dienstleistungsorientierung Strukturierte und lösungsorientierte Arbeitsweise mit hohen Qualitätsansprüchen Sehr gute Deutsch- und Englischkenntnisse Es erwartet Sie eine interessante, verantwortungsvolle und selbständige Herausforderung in einem internationalen, faszinierenden Umfeld und einem dynamischen Team. Eine gründliche Einführung in Ihre Aufgabe ist selbstverständlich. Wir bieten Ihnen fortschrittliche Arbeitsbedingungen, eine moderne Arbeitsumgebung und gute Sozialleistungen (5 Wochen Ferien, kostenfreier Garagenplatz, Personalrestaurant, Gleitzeit, etc.).  Interessiert? Wir freuen uns auf Ihre Bewerbung!

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers The timely and relevant financial information provided by EY's Assurance teams is essential to global economic health and sustainable growth. Our work helps to restore and maintain public confidence in the world’s capital markets and ensure that the fundamentals are in place for businesses to move forward. Start your career in a practice rich in opportunity - the scale and scope of our clients’ businesses add to the wealth of experience that a career in Assurance Innovation & Digital at EY offers you. Tasks that you promote You will be involved in the Analytics Data Delivery Team of our Assurance practice supporting our Assurance teams all over Switzerland Typical activities will include the following: Helping to create and deliver key engagement analytic solutions to Assurance teams Working with a robust set of tools and infrastructure to sanitize, store and manipulate data (following leading standards for data security and privacy) Use a problem solving approach to overcome unexpected issues - both technical and operational Communication with Assurance teams and clients all over Switzerland You will work in a dynamic, international and multicultural environment You will benefit from an auditing, accounting and data science specific learning curriculum and intensive on the job training Your profile to succeed together Profound experience with any of the following software: MS Office and MS SQL Server Experience in data analysis and basic experience with data visualization techniques and software such as Spotfire, Tableau, Power BI or others is a plus Knowledgeable in ETL tools and software, such as Alteryx or Pentaho is a plus Knowledgeable about ERP systems, such as SAP, Avaloq, Oracle, Microsoft Dynamics and Abacus Project Management skills Ability to work under pressure and to deadlines Experiences in accounting or auditing is a big plus Strong analytical and solution-oriented mindset Good communication and interpersonal skills Languages: English and German/French   More opportunities for your development Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms.   Barthélémy Balaÿ is looking forward to receiving your application Take the next step and apply for this position online. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66). Only direct applications are considered.

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies all over the world. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In doing so, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers   The rapidly growing Innovation & Digital Center Switzerland is currently seeking the right candidate for an excellent career opportunity in the Data Scientist team.   The team is a global group of technical consultants that runs the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support process analytics and mining, fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep business process knowledge with analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.   Tasks that you promote Meeting with a prospective client to understand their business problems Analyzing massive data sets Coaching young motivated team member to reach their potential Building a project prototype Leading teams and reviewing work packages of junior professionals (quality control) Creatively extracting data from various client systems Preparing dashboards or data visualizations You bring in your SAP skills set Proven experience in SAP ECC 6.0, S4/Hana or GRC, in one or more of the following areas: Procure to Pay (PTP), Order to Cash (OTC), Human Resourcing (HR), Financial Statement Close Process (FSCP), Access Control (AC), Process Control (PC), SAP Basis (BC), Access and/or Change Management (BC) SAP knowledge includes data structure or/and customizing   You have hands-on analysis experience Firsthand experience in data analysis, manipulation or visualization with one of the following software: SQL Server, SAS, IBM SPSS, Hadoop, Tableau, Qlik, Spotfire Experience in utilizing and deploying ETL software (e.g. SSIS, CloverETL, Talend, SAP Data Services) Excellent relational SQL database skills (Open SQL, PL-SQL or T-SQL) Demonstrate understanding in at least one programming language such as ABAP, R, Python, Java, C++ or C#   Your profile to succeed together Data analysis skills with strengths in drilling into underlying databases for discovery and identifying opportunities and trends and translating these into understandable and meaningful business outputs Show ability to translate findings into clear insights and then communicate verbally and through compelling written documents Have strong critical thinking skills, demonstrating the ability to see the "big picture" while also diving into the details where necessary Degree/Diploma in Information Engineering, Computer Science or other related field 4-6 years of work experience in a similar field   More opportunities for your development Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive teamwork, challenging client projects and being part of the network of one of the world’s leading professional services firms.   Jona Fahrländer is looking forward to receiving your application Do the next step and apply for this position online. Ref No: ZUR00148. For further information please contact our recruitment team (Recruitment.switzerland@ey.com / +41 58 286 33 66).   Only direct applications are considered.  

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers   Our professionals within Assurance practice in Zurich develop specifically tailored audits in order to build trust and to ensure clarity, transparency and continuity. Start your career today by joining us in the versatile world of the audit.   The rapidly growing Forensics department is currently seeking the right candidate for an excellent career opportunity in the Forensic Data Analytics (“FDA”) team. This team represents a critical component to EY’s Forensics growth strategy and is where much of the innovative early thinking takes place.   The FDA team is a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep forensic investigation knowledge with advanced data analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.   You will have a unique, career changing opportunity to play a key role in the growth and strategy of the FDA group.   Tasks that you promote Working on client engagement teams in carrying out both reactive and proactive data analysis of large volume of structured data involving a wide range of database management systems and financial platforms Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations Working in our specialist forensic technology data analytics labs and onsite to help clients leverage knowledge from their data through the application of advanced analytics Your profile to succeed together Degree (Bachelor or Master) in Computer Science,  Applied Mathematics or Economics, or related fields 3-5 years of practical experience working as a Data Scientist and if possible with client facing experience Knowledge of data mining, machine learning and predictive analytics as well as extensive experience in data analysis and manipulation with any of the following software: SQL Server, SAS, IBM SPSS Understanding of at least one scripting language such as Python, Java Script; or programming languages such as SQL, Java, C++, C#, R Experience in extracting, analyzing, and processing large volumes of data and experience with data visualization techniques and software packages like Tableau, Spotfire or IBM i2 Analyst Practical or theoretical knowledge/experience in finances or life science and basic knowledge of accounting principles are a big advantage Excellent problem solving skills, strong financial, analytical, technical, and interpersonal skills as well as excellent written and verbal communication skills are requested   More opportunities for your development Dou you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms   The Recruiting Team is looking forward to receiving your application Do the next step and apply for this position online. Ref No: ZUR001B6. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).  

Wir sind die führende Dienstleisterin in der Schweiz für Daten rund um das Tier und den Pflanzenbau. Zur Erweiterung unseres Teams im Geschäftsfeld Daten suchen wir einen erfahrenen, talentierten und vielseitigen Data Scientist 80%-100% Deine Herausforderung: Du bist mit Informatik, Datenbanken, strukturierten wie unstrukturierten Daten sowie komplexen Schätzverfahren vertraut. Du hast Erfahrung in Datenverarbeitung, -analyse und -visualisierung mit R (dplyr, data.table, ggplot2, e1071, caret, uam.) und/oder Python (pandas, scikit-learn, matplotlib, numPy, uam.). Du kennst dich aus mit MS-SQL und gGIS. Du hast bereits mit grossen Datensätzen zu tun gehabt. Verfügst du allenfalls auch über Erfahrung mit biologischen und epidemiologischen Daten? Sind dir gesunde Tiere und sichere Lebensmittel ein Anliegen? Du möchtest Wirkung erzielen und bist motiviert deine Kompetenzen in den Aufbau eines Geschäftsfeldes einzubringen. Deine Motivation sich mit vielen neuen Fragestellungen auseinanderzusetzen, profunden Kenntnisse, Kreativität und Engagement tragen massgeblich zu unserem Erfolg bei. Du verfügst über einen Hochschulabschluss mit Master oder gar Promotion und hast einen ausgewiesenen Track Record. Dein Benefit: Eine fordernde, kreative R&D Aufgabe in einer erfolgreichen und bedeutenden Schweizer Unternehmung. Die Chance dich in der Entwicklung neuer Datenprodukte und Services, zu Gunsten der Wertschöpfungsketten tierische Landwirtschaft und Heimtiere zu engagieren. Ein dynamisches, durch Innovation geprägtes Umfeld, in welchem du deine Stärken sowie deine gewinnende Art täglich neu unter Beweis stellen kannst. Ein engagiertes, qualifiziertes und mehrsprachiges Team freut sich auf dich. Die Arbeitssprachen sind Deutsch und Englisch, Französischkenntnisse sind ein Plus. Gleitende Arbeitszeiten, fortschrittliche Anstellungsbedingungen und attraktive Lohnnebenleistungen runden unser Angebot ab. Arbeitsort: Bern-Wankdorf. Haben wir dein Interesse geweckt? Dann freuen wir uns auf deine vollständige Bewerbung! Arbeitsbeginn ab 1. März 2019 oder nach Vereinbarung. Identitas ist ein "equal opportunity employer". Für weiterführende Informationen wendest du dich bitte an Dr. Stefan Rieder, Unternehmensentwicklung, Tel.: +41 31 996 81 83. Deine Bewerbungsunterlagen sendest du an hr(at)identitas.ch. **** We are the leading company in Switzerland for data recording in the animal and plant sector. To strengthen our business area in data value creation we are looking for an experienced, talented and versatile Data Scientist 80-100% Your challenge: you are familiar with IT, databases, structured and unstructured data as well as complex prediction analyses. You are experienced in data handling, -analytics, and -visualization with R (dplyr, data.table, ggplot2, e1071, caret, etc.) and/or Python (pandas, scikit-learn, matplotlib, numPy, etc.). You are well versed with MS-SQL and gGIS. You do know about how to handle massive real-world data. Maybe, you are also an expert regarding biological and epidemiological data? And besides, do you care for healthy animals and safe food? You are a motivated, dynamic person, looking for a meaningful job with impact. You wish to contribute to the development of a business area in a SME. Your profound skills, humor, creativity and commitment to the job are key factors for our success. You dispose of a master's degree or even of a PhD, and an excellent track record. What we offer: a challenging, meaningful job in R&D within a successful, unique Swiss company. The opportunity to develop data products and services for the benefit of the animal agriculture value chain and the companion animal sector. A dynamic and innovative work environment, where you are invited to bring your winning personality and skills in. A qualified, committed and multilingual team is looking forward to welcome you. Working languages are German and English, French is an asset. Identitas is offering attractive hiring conditions. Our offices are located in Bern-Wankdorf. Interested: if so, we are happy to receive your full job application. Start of work on March 1st 2019 or by appointment. Identitas is an equal opportunity employer. If you wish more detailed information please contact Dr. Stefan Rieder, Corporate Development, Identitas AG, phone: +41 31 996 81 83. Please send your application to hr(at)Identitas.ch.

MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident. Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze. Job Description This role is your opportunity to build and deploy new AI products from the ground up. You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production. You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices. You will: Support the Head of AI Initiatives to set up our AI development and production infrastructure. Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products. Build data ingest and data transformation infrastructure. Identify transfer learning opportunities and new training datasets. Build AI models from scratch and help product managers and stakeholders understand results. Deploy AI models into production. Create APIs and help business customers put results of your AI models into operations. Keep current of latest AI research relevant to our business domain. To support you, MindMaze will: Provide an international collaborative work environment Provide mentoring Allow flexible employment terms and conditions Qualifications Skills that we look out for are among BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure Postgraduate degree in AI related topic At least 5 years hands-on programming /data science application experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps Ideally experience in Healthcare applications of this technology Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups Fluent written and spoken English and French level (level C1) Icing on the cake Be ready to show us models you have created and discuss them in great detail. Additional Information To be successful you can illustrate the fact that you have the following abilities: Working autonomously: setting tasks and direction under limited supervision Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks

We are looking for an experienced and enthusiastic Research Scientist   in Machine Learning able to cope with the challenges of building next generation solutions in medical image & data analysis.  The candidate would be a key member of RetinAI’s scientific team, taking a leading role in the development and deployment of our machine learning technology.   We are looking for candidates who love what they do, with good communication skills, able to understand the requirements of the solution and to contribute with their experience to solve challenging problems in collaboration with our team. The working location would be Bern or Zurich . The company is based in Bern, but we are strong supporters of mobility and work-life balance! REQUIREMENTS Entrepreneurial mindset! PhD degree in Machine Learning or Computer Science, or equivalent practical experience. 3+ years experience in Machine Learning. Python & Python-based working environments. Computer Vision and Image analysis. Experience with algorithm development & computational complexity. Experience with developing stable code. Experience with development tools (bug tracking, revision control, testing…). Strong teamwork ethic, passion for learning and desire to seek new challenges. Unsupervised and/or Reinforcement learning would be a strong plus. RESPONSIBILITIES You will solve cutting-edge scientific and technical challenges in the field of machine learning applied to medical imaging and medical devices. You will develop, optimise and improve core machine learning and image processing algorithms within RetinAI . You will conduct code reviews. You will analyse and improve the efficiency and scalability of our systems and processes. You will collaborate with multiple team members within the company.

Doodle is quickly becoming the core internet utility for scheduling used every day. We enable great meetings because people can do amazing things when working together. Today, Doodle’s products reach more than 28 million users per month. We make it our mission to find the optimal point in time for 8 business people to schedule this super important meeting. You’ll be joining our newly formed Data team based in our Zurich office. You and your team will lay the foundation for our data infrastructure that helps Engineers and Product Managers to develop personalized Doodle experiences and further accelerate growth and collaborate with our data scientists to build the AI behind Doodle. We build a state of the art data pipeline using Kafka, real time stream processors, spark and various databases (Redshift, Athena and MongoDB). Data Engineer (f/m) 80-100%   We are specifically looking for: BSc or MSc in Computer Science or a related field Real passion for collaboration and strong interpersonal skills Experience crafting and implementing high-performance microservices serving millions of requests a day and stream-processing of large data sets (Kafka experience is a big plus) Strong grasp of database structure, design, query languages (e.g. SQL), large data sets, distributed systems, fundamentals of mathematics and statistical concepts Experience in building data pipelines, processing services and models in Python (airflow, scikit-learn or pandas know-how is a big plus) Experience in at least one statically typed language. We use Java, Scala and Go Ideally knowledge/interest in Linux, Docker and container orchestration frameworks, such as Kubernetes Whom you’ll be working with: We’re a fun bunch of people and we have an open, casual and inclusive atmosphere, where everyone encourages each other to share their opinions, interests and weird hobbies. You’ll be working with different people in the company, sometimes across offices. Over lunch you will have the tough choice of in-house canteen, many outside options (or only Thai food according to a few), and the option to do some sports with your teammates (bouldering, volleyball, basketball, gym and more). What we offer The chance to create the AI behind Doodle Make an impact for millions of users We are home-office and remote work friendly, matched with flexible working hours Your personal growth is important to us. So, you will have a personal, yearly budget for educational courses, conferences etc. Sunny, open offices in central locations in Berlin, Zurich, Belgrade & Tel Aviv. Yes, you get to travel there too. This includes a once per year budget to do so, even if there is no specific business reason Top-spec hardware: you choose your setup So, get in touch! Doodle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We believe that a diverse team makes for better products and a better workplace. Our team comes from all over the world (representing 20 nationalities) and from diverse backgrounds. We do not accept unsolicited CVs from  Third Party Agencies .

We are a well-funded software startup on a journey to revolutionize the manufacturing industry and making Industry 4.0 reality. We are connecting engineers, prototypers and hardware startups with manufacturers & 3D printers, simplifying how new product concepts and mechanical parts are manufactured. We are building an online platform where engineers can share their part-specifications with manufacturers and collaborate on the details of their 3D models online; like Google Docs for mechanical parts and 3D printing. Imnoo is a young and motivated team, working with joy and pioneering spirit on our mission to make industry 4.0 reality. As part of the team, you can actively shape our team culture, take responsibility and prove your entrepreneurial spirit. We cultivate open communication within our team, make quick decisions in our team and appreciate flat hierarchies. About you You love to solve problems with data and statistical analysis. You know how to build scalable data management and processing system to analyse large amount of records efficiently. You are well versed in common machine learning algorithms and know when to use what approach. You have experience in computer vision and have knowledge in extracting information from 2d images and 3d-models (geometric analysis). As a machine learning / datascientist software engineer you will work in a small team, focusing on solving industry problems with concrete application at our customer’s factories. You like working in a small, collaborative team and you are eager to take on responsibility quickly and have a real impact on our startup’s progress. While we at Imnoo emphasize work-life balance, you also understand and are willing to go the extra mile to finish our ambitious sprint goals when necessary. You are following current technology trends and ideally have contributed to open source projects yourself. Desirable Profile: Data processing: parsing, filtering, piping, indexing querying data efficiently Experience in Pipeline development Expertise in full-stack data science tools including data wrangling/munging, iterative and batch analysis Knowledge of image processing, computer vision & geometric analysis Data mining and statistical modeling background Experience automated model training Strategic data analysis and research: statistical tests, propagation of error, Identifying clusters and outliers Building training/testing and validating datasets SQL/ NO-SQL, C#, Python, C++ Knowledge of agile development principles and experience in project methodologies. MS or BSc in Software Engineering or equivalent experience. Good team player and ambition to actively form a great company. Azure or comparable cloud platform experience and large scaling web applications is a plus. Fluent in English, German is a plus. Understanding of CNC Manufacturing/CAD is a plus If you have, please feel free to share with us your github and stackoverflow account.