We are looking for a PhD or Master student to join our machine learning and data science team in Troy, MI (Detroit area).
Together with a small team of motivated researchers and developers, your goal is to prototype, develop and deploy practical and scalable analytics solutions.
Apply your expertise in Operations Research, Data Science, and Data Mining to develop analytics solutions
Partner with internal stakeholders on projects to identify and articulate opportunities and look beyond the data to identify solutions that will raise the bar for decision making
Collaborate with cross-functional data and product teams across Business Applications to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions
Define, compute, track, and continuously validate business metrics with descriptive and predictive analytics
Recommend and drive process changes based on robust analysis of operational data and user behavior to improve overall business performance
Master or PhD student in a quantitative field such as Operations Research, Computer Science, Quantitative Finance, Math, Physics or a related Engineering degree
Deep knowledge of robust optimization, especially for supply chain applications
2+ years experience in building models and developing algorithms for machine learning, statistics, mathematical programming, and simulation
2+ years experience in managing and analyzing large-scale structured and unstructured data using Python
2+ years experience in SQL and data modeling
The internship period is initially 6 months and then open to a full-time position according to performance.
You should be able to work on-site at Algomus HQ in Troy, Michigan.
When you apply, please include your CV and a short description of your previous work related to operations research, machine learning, or related field (e.g. links to papers, reports or your Github account).
Taleb Alashkar, Ph.D. firstname.lastname@example.org