Data Science Consultant

Data Analytics Greater Detroit Area, Michigan


umlaut is a 4500+ people strong global full-service cross industry end-to-end partner that applies its deep-running interdisciplinary, collaborative advisory and fulfilment capabilities to change its clients fortunes for the better and - on top of that - add value, quality and focus to their organisations and produce.

our öffer

  • Develop software solution on embedded system.
  • Acquire directions and suggestions from management and headquarter to derive insights from big data.
  • Communicate with internal and external IT department to setup analytics environment, access big data and coordinate project schedule.
  • Improve product and service by utilized machine learning tools and technique.
  • Report data analytic result, propose improvement idea and execute development plan.
  • Able to travel within US and international.


  • Bachelor’s, Master’s or PhD in Engineering/ Information technology/ Computer Science/ Statistics/ Mathematics
  • Two years’ experience in machine learning implementation.
  • Experience in machine learning – deep learning implementation by using existing Python based libraries in any industry, like Keras, PyTorch, TensorFlow, OpenCV and etc
  • Two years hands-on development expertise using Python and C/C++
  • Minimum five years’ working experience includes two years’ experience in machine learning implementation.
  • Able to communication with IT department to setup analytics environment, access big data and coordinate schedule.
  • Knowledge of cloud based service like Azure and AWS
  • Strong analytical skills and a passion for technology and problem solving.
  • Strong commitment to quality and attention to detail
  • Strong ability to work independently and as a member of a diverse team.
  • Excellent communication skills with an ability to develop drawings and documentation to communicate complex problems and solutions to both engineers and non-engineers.
  • Ability to recognize and mitigate both technical and organizational challenges.
  • Ability to develop system designs for a variety of applications, from low-fidelity proof-of-concepts to production-intent solutions.
  • Ability to lead and support engagements with both customers and suppliers.
  • Desire to learn constantly and dive into new areas with unfamiliar technologies.
  • Implementation experience in Hive and SQL
  • Proficiency in Apache Spark, Scala or Java
  • Experience in data visualization.
  • Experience in analyzing visual imagery.
  • Experience in geospatial analytics (ArcGIS, QGIS)
  • Strong interest in vehicle big data, such as CAN and location based data
  • Understanding of network protocols (e.g., TCP, HTTP).
  • Experience using Containers and orchestration frameworks (e.g., Docker Swarm, Kubernetes).
  • Experience with Linux-like operating systems.
  • Experience developing new products and technology with an agile team.
  • Experience in all phases of software development (feasibility, design, implementation, integration, test, and support), preferably experience with complex systems that include multiple domains.
  • Ability to work across multiple disciplines (systems, embedded, cloud web, mobile, testing).
  • Experience in natural language processing (NLP), understanding, or generation.
  • Experience in text analytics, knowledge base construction, machine translation, or dialog systems.
  • Experience in text representation (e.g., n-grams, sentiment analysis, bag of words, etc.).
  • Experience with open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Mallet, etc.
  • Preferred: experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc.

top 5 reasöns

  1. An entrepreneurial environment with immediate responsibility and a chance to make a difference from the word go
  2. Innovative projects with big name clients and exposure to future, cutting edge technologies
  3. Unlimited individual growth opportunities and the ability to create a personalised career path
  4. Access to a global network with opportunities to live and work abroad
  5. All the support, training and coaching you need to further your career
  • +X. A team spirit and family-like culture as exciting and colourful as our gradient coloured coffee marshmallows