两年DS contractor岗，不要H身份的

只要可以灵活工作的身份，不需要sponsor的，EAD，绿卡等
有意请联系meritiinc 艾特 gmail

Job Title: Machine Learning Scientist/Data Scientist

Location: Remote/Atlanta, GA (30309) – Onsite in ATL post COVID

Duration: 24+ Months

..

Who we are and what we do:

·       The AI and Data Science team is centralized across the entire organization.

·       We work with various product teams across various business units to define high-impact business problems, solve them using novel techniques, and execute and monitor them throughout their lifecycle.

·       Most of our models make it to production, they never sit in a research lab. But we also do quite a bit of research to stay up-to-date with the latest technologies/algorithms.

·       We are very collaborative, you will likely get lots of ideas from the team.



What kind of problems do we solve:

·       Our locomotives stream 350+ sensor information in real-time. We create predictive models to predict various component failures hours, days, and sometimes months in advance.

·       There are high-frame cameras beside our tracks, capturing images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections.



What tools do we use:

·       We use Python, R, and Spark (PySpark, SparkR) for modeling and EDA.

o   You will have a local machine with 512GB of memory, so feel free to load the data in memory if it makes sense or if it fits (!)

·       You will also have terabytes of memory in our Spark cluster that is not shared by anyone.

·       We use Jupyter notebook, Emacs, PyCharm, Rstudio as IDEs.

·       We use Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision.

·       We always have the latest versions of our tools/packages/libraries available.



What are our requirements:

·       Bachelor’s, Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics or related field

·       Minimum of 1 year of relevant industry experience (as a Data Scientist, Research Scientist, Machine Learning Engineer, etc.), 2+ preferred; or proven qualifications.

·       Hands-on and theoretical knowledge of various Machine Learning algorithms and tools, e.g. xgboost/LightGBM, Random Forests, SVMs, PCA, t-sne, kmeans, DBSCAN, etc.

·       Expertise with Time Series problems is a plus

·       Excellent knowledge of Python and/or R

·       knowledge of Spark (PySpark and SparkR) is a plus



What will be your duties:

·       Effectively utilize appropriate statistical, Machine Learning, and Deep Learning models and techniques to solve various business problems

·       Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases.

·       Evaluate accuracy and quality of data sources, as well as the designed models

·       Stays up to date with the latest models and changes in the technology

·       Communicate results to colleagues and business partners.



Disclaimer:

This position will focus on Statistics and Machine Learning models (regression, classification, clustering, etc.) and it will not have a Computer Vision or Deep Learning focus.




补充内容 (2021-05-07 04:43 +8:00):
HR反馈说只要一年以上经验的

补充内容 (2021-05-11 01:15 +8:00):
需要有time series，python，spark经验

new graduate打算试一下~~~

请问这个邮箱地址是楼主你的嘛？