Miebach Consulting
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Lead Data Scientist


Recent Graduates | Mid-level Professionals | Senior Professionals | Digital |

Montreal

We are seeking Data Scientists with proven experience developing models to solve business problems to join our Digital Innovation team.

 

 

What’s in it for you:

 

You will drive large-scale Supply Chain decisions for significant improvements in Sales, Service, Inventory, Cost, Investments and Carbon Emissions for our customers.

 

You will be in direct contact with relevant key supply chain stakeholders and decision makers and help them implement your solutions to improve their forecasting, sourcing, production, distribution, transportation, inventory, and route to market decisions and planning.

 

You will learn from our unrivalled experience, working alongside talented colleagues and using state of the art data and modelling technologies.

 

You will have a challenging and rewarding career where the variety of opportunities and projects allows you to develop your potential and grow professionally every day.

 

We offer a competitive salary and other benefits package, learning opportunities and much more!

Task

  • Collaborate with teams to execute projects in Digital Innovation: Supply Chain Data Engineering, Data Mining, Segmentation, Forecasting, Predictive Analysis, Optimization, Simulation, Process Mining, Business Intelligence, and Customized Algorithm Development
  • Direct performing and lead analysts to deliver data pulling, data wrangling, data analysis, modeling, scenario analysis, and strategy recommendation tasks for assigned projects
  • Develop innovative modeling approach leveraging different tools, knowledge, and best practices, including various topics in Machine Learning and Operations Research
  • Work with clients and team members to understand business objectives, identify data requirements/gaps, and formulate strategies that yield value
  • Be responsive to internal and external requirements and complete project tasks according to aligned project timeline and milestones
  • Provide quality analytical results for project gate review process and drive decision-making for Miebach’s clients
  • Guide and coach team members on data processing and modeling knowledge and techniques
  • Develop best practices documentation and standard tools for Supply Chain Data Science applications

Profile

  • Bachelor’s or Master’s degree from an accredited institution with majors in Engineering, Business Analytics, Operations Management, Supply Chain Management, Computer Science or Information Systems
  • Relevant coursework in data science and operations research
  • Minimum 4 years professional experience in data processing and modeling for business recommendations
  • Proficiency in Python (with Tensorflow, Pandas, NumPy, SciPy, Scikit-learn) and SQL
  • Experiences with Business Intelligence and visualization software
  • Proficiency in English, both spoken and written
  • This position in located in our Montreal, Canada office and on-site presence is required
  • Not required, but good to have: • 5+ years professional experience in data processing and modeling for business recommendations • Academic and professional experience in Supply Chain optimization and modeling • Professional experiences in consulting environment

Miebach Consulting offers careers with demanding challenges across the entire supply chain spectrum. We provide an intensive and individualized training program to help you to begin working on various projects, developing you into a productive and client facing team member. In an innovative and team-oriented corporate culture with committed and experienced colleagues, you’ll have numerous opportunities to expand your personal career path.

To apply, visit the website:

https://recruitmentpoc-sandbox.mxapps.io/

 

And use the job code (CAN) Data Scientist

Apply now

CANUSA Laliberte Emilie CV Homepage hohe Aufloesung

Canada | United States |


Emilie Laliberté

Manager Engineering and Talent Management USA and Canada Lead


13174233126
laliberte@miebach.com