Full-Time Data Scientist – NLP Remote
Seeking a Data Scientist with NLP Strong academic background. MS preferred 3-5 year experience is sweet spot. This person could be a Data Science Engineer or a Machine Learning Engineer. R, Python, TensorFlow This person will work on big data models and play a part in building the model. Looking for someone more senior of this role At least 3-4 years experience as an individual contrib. Must be able to work independently Also, would ideally like someone who has time series modelling experience. Here is the definition: In mathematics, a time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data.
NLP, ML, R, Python, Tensorflow
Data Scientist – Remote
We are looking to hire a Data Scientist to join our team. You will help transform all our eCommerce data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Work with Best in Class open-source and visual tools, along with the most flexible and scalable deployment options.
Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data.
Incorporate a variety of statistical and machine learning techniques in your projects.
Write programs to cleanse and integrate data in an efficient and reusable manner.
Use leading-edge and open-source tools such as Python, R, Pytorch, and TensorFlow,
Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
Evaluate modeling results and communicate the results to technical and non-technical audiences.
Qualifications and Skills
Ability to look at things differently, debug, troubleshoot, design, and implement solutions to complex technical issues.
Strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in a language such as Python.
Basic understanding of statistical programming in a language such as R, Python, etc.
Experience using an ML library such as Tensorflow, Keras, or Pytorch
Basic understanding of Cloud (Google Cloud, Azure, etc).
Excellent verbal and written communication skills.
Work or internship experience using data science tools in a corporate environment.
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