Forage AI Careers!
Junior Data Scientist
Data Science
Full Time
Remote
As a Junior Data Scientist at Forage AI, you will be at the forefront of leveraging data-driven insights to drive innovation and solve complex challenges. You will collaborate closely with cross-functional teams to analyze large datasets, develop predictive models, and derive actionable insights that empower our clients to make informed decisions. This role offers a unique opportunity to work with cutting-edge technologies in artificial intelligence and machine learning, contributing to the development of advanced analytical solutions that drive business growth and competitive advantage.
Who are we?
As we dawn upon the age of AI, there’s nothing more crucial than the underlying data that provides the basis for intelligent and powerful software. With this in mind, Forage AI was born. We are a data automation and data science pioneer built to help democratize data. Our mission is to create powerful data assets on the fly – and we believe that by accomplishing this over and over again, in different industries and varied use cases, we can achieve incredible feats. Our suite of services includes the extraction of unstructured data from websites and documents – with a particular emphasis on extremely broad, generic and wide scale data collection – and the subsequent processing and structuring of this data using best in class approaches in ML/NLP as well as with passionate and deeply committed research teams to create top-tier datasets. Our core belief in the value of data perfection leads to an extreme level of commitment to data precision and accuracy, helping us stand apart from the rest and leading to remarkable outcomes.
Here’s what you’ll do:
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Utilize your software development background and skills to solve industry problems. -
Stay informed on machine learning topics, like modern technology used in deep learning and natural language processing.
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Upskill and work on being business ready by conducting exploratory research based on our future goals.
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Develop proof of concepts and work on MVP projects, as well as production-level algorithms.
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Independently handle client interactions and project execution.
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Use Natural Language Processing for entity extraction, classification, and matching.
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Apply bleeding-edge analytical methods to large data sets as needed.
Requirements:
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Ability to problem solve in an unstructured environment.
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Experience working with Named Entity Recognition, spaCy, NLTK, Word2Vec (Word Vectors), or transformers like BERT.
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Experience in working on projects that involved parsing large unstructured documents, like PDF files, using NLP techniques.
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Experience in sharing your findings through visualizations, writing, and/or speaking.
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Degree in Statistics, Computer Science, Math, or in any quantitative field.
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Preferably should have used deep learning Python libraries such as TensorFlow and PyTorch.
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Understanding of ML/ AI Models.
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Excellent verbal and written communication skills.
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Proven excellence in managing ambiguous business situations independently.
Other Infrastructure Requirements:
Since this is a completely work-from-home position, you will also require the following –
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High-speed internet connectivity for video calls and efficient work.
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Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to interrupted efficient work).
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Headphones with clear audio quality.
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Stable power connection and backups in case of internet/power failure.
Apply Now
