Employer: Soothsayer Analytics
THIS IS NOT AN INTERNSHIP POSITION, WE NEED SOMEONE WHO CAN JOIN IMMEDIATELY, SOMEONE WHO CAN RELOCATE TO DETROIT, MI IMMEDIATELY AND WORK FROM OUR OFFICE. PLEASE DO NOT APPLY IF YOU DO NOT MEET THE MINIMUM CRITERION, DO NOT APPLY IF YOU ARE NOT COMFORTABLE WITH THE SALARY.WE NEED SOMEONE WHO CAN START WITHIN 2 WEEKS.Soothsayer Analytics is seeking Data Scientist who has an interest in solving challenging ML/ AI problems. The Data Science team works on a variety of exciting analytics (ML, AI) projects.Job Description:Solve cutting edge, challenging problems working alongside a great team of world-class data scientists and analytics expertsHaving a passion for solving interesting and challenging big data problemsCommunicate results to scientific, business, and stakeholdersMine data to prototype models for targeting and personalizationCollaborate with other engineers, data scientistsEducation and Experience:PhD in computer science, Physics, Statistics, applied Mathematics, or other quantitative/ Computational discipline or Master’s with over 2 year of real time relevant real-time Industry experience as a DATA SCIENTIST is a MUST.Overall experience: > 3 yearsExperience: At least 1 year industry experience as a Data Scientist is required.Machine Learning Engineer/ Data ScientistExperience with building Machine Learning solutions with Python 3Expertise with packages such as Pandas and scikit-learn.Experience with distributed processing libraries like Dask.Experience in building linear and nonlinear optimization models.Familiarity with MLOpsPreferred deep learning with distributed computingPreferred experience in building recommendation engines on large datasets with multiple formats Knowledge in implementing models based on game theory/mechanism design like Bayesian bargaining games and auctions.Knowledge of deep learning methods (autoencoders, embeddings etc.) using Pytorch, Tensorflow etc. and semi-supervised learning Knowledge in working with Graph databases and algorithmsKnowledge in building Bayesian network based models.THIS IS NOT AN INTERNSHIP POSITION AND IMMEDIATE NEED. MINIMUM QUALIFICATION IS PhD or Master’s with at least 1 year of real-time relevant Industry experience.PLEASE READ CAREFULLY THE MINIMUM QUALIFICATIONS BEFORE APPLYING.Covid-19 update: Work from our office in Detroit, MI, remote work is not allowed.