3 jobs found in Karlsruhe

Overview The Data Scientist Consultant provides services that maximize the value of the customer's business through data-driven insights and enhanced decision support.   This is the maximum value from the software. Your day to day work will entail Provide analytical services as part of a team to perform proof-of-concept and identify opportunities to create customer value Perform data analysis to identify patterns, trends and anomalies in customer data, translate the results into actionable insights, and present and improve their data quality Extracting and presenting data from customer data sets Build, configure and train models to support overall project objectives, and run simulations and what-if analyzes to evaluate alternative scenarios Quantitative proof of the results of the project Work as part of a highly motivated, interdisciplinary and agile team You are / should have Graduate degree in Operations Research, Statistics, or a related quantitative field, is required, and advanced knowledge of machine learning is preferred. Ability to elicit customers' knowledge, both explicit and tacit, about business objectives, strategic concerns, and policies related to the scope and success of the project. Able to translate complex into business insights and opportunities to create value. Demonstrated experience of script programming languages, preferably Python, for data analytics and machine learning applications. What you can expect Every day, our teams enthusiastically work with our customers on innovative AI-based solutions and sophisticated optimization for the retail industry.   Working with us means you can look forward to coworkers who use creativity to collectively develop ideas and appreciate each other's expertise.   Mutual respect, friendly relationships and results-oriented work are important parts of our environment.   We strive to be a family-friendly business and are open to modern working structures. We believe that the individuality and diversity of our employees make a decisive contribution to our success.   Our hiring process is based on qualifications and career profiles.   We welcome applications from all motivated candidates, regardless of age, gender, disability, sexual orientation, origin or religion. Li-HG1

We are a young company, set up as a team with a vision of the future, to take part in the course and development in the coming years.   We want to help shape the future digital-intelligent world and leave our footprint behind. KENBUN supports companies in the implementation of projects related to Artificial Intelligence (AI), Machine Learning and Big Data.   We are experts in the area of ​​Fraud Detection in the banking and insurance sector.   In addition, our creative software company develops innovative AI products, such as our intelligent, natural-language assistance systems. At KENBUN, we not only work agile in projects.   Agile is anchored in our DNA.   We live our own initiative and responsibility.   Mutually, we participate in the knowledge and ability of all under achieve a sustainable business activities.Will you also want to become part of the project future?   Then apply now! Thesis wants to be your tasks Development of big data applications Processing of structured and unstructured data Working with big data technologies like Hadoop, Spark and Kafka Development of big data science solutions based on machine learning, recommendation systems, text mining and deep learning Working with Cloud Platforms (AWS, MS Azure and Google Computing Engine) Automation with tools like Puppet, Ansible, Vagrant and Docker You're offering these qualifications Completed studies, preferably with IT background or mathematics / physics or a comparable vocational training Security in dealing with big data architectures and technologies, such as Hadoop, Spark and Storm Experience in using programming languages ​​such as Java, Scala or Python Independent, goal-oriented and methodical approach High degree of initiative Communication and team skills Very good German and English skills in writing and writing complete your profile We are offering these benefits Sophisticated conceptual topics Taking on responsibility and a lot of room for creativity in a versatile area of ​​responsibility Support in the development of your potential through individual support Competent, individual support during the induction phase for a simple start to the new job • Excellent working atmosphere in a highly motivated team with top work and office equipment Job ticket, mileage allowance for commuters, service bicycles, company cars Flexible working hours and home office regulation • Compatibility of family and work, eg childcare Assistance with relocation, eg finding a flat, taking over transport costs Participate in the corporate success of a dynamically growing startup Work-life balance, eg sabbatical, health and fitness promotion Asset-based services, company pension plans Daily fresh fruit baskets and free drinks in the office Plenty of scope and opportunities in building the company And by the way ... 31 days holiday Apply now with your cover letter and curriculum vitae as a PDF as well as the desired salary and desired date of entry. We look forward to you!

A Data Scientist to JDA's current and upcoming solution and services offering through the improvement, research, design, and development of innovative algorithms and models based on machine learning, operation research, and other techniques. Responsible for designing, developing and testing new models or solving approaches under the supervision of a senior team member or manager. Work assignments are performed under supervision with specific procedures and guidelines to follow. Delivers all tasks on time. Keeps all applicable systems updated on a consistent basis (JIRA task updates). Demonstrates the ability to apply to a JDA business problem. Developing algorithms and models based on machine learning, operation research, or other techniques to solve a JDA business problem. Integrates new models and algorithms into a product under the supervision of a senior team member or manager. Stays current with scientific libraries and development tools. Demonstrates good programming knowledge. Demonstrates good data manipulation knowledge. Uses visualization libraries to present results.   Understands business and data requirements. Learns JDA domain expertise from JDA domain experts. Participates in translating scientific contributions into patents, publications, or conferences. Presents information and status in a coherent and concise manner. Communicates information to project teams.   Works independently with other associates as required.