Python Developer (NLP / Data Science) (Remote)

Python Developer (NLP / Data Science)

Remote

Contract Through end of year

Key responsibilities:

• Implement innovative algorithms to solve challenging problems in the Natural Language Processing space
• Curate high-quality datasets
• Perform analyses, interpret results, and distill key findings to stakeholders??

What we’re looking for:

• Creative problem solver with a NLP/Data Science background who is willing and able to learn the ins and outs of a new problem space and contribute to both the planning and execution of innovative technical solutions
• Strong understanding of English syntax and semantics, with Linguistics coursework a plus
• 1-3 years of hands-on experience developing and evaluating NLP solutions using both rule-based and machine learning methods
• Strong documentation practices and communication skills
• Excellent Python skills
• Experience using NLTK, spaCy, or Stanford NLP
• Experience working in the AWS cloud
• Proficient with Linux/Unix command line, Git version control, and regular expressions
• Familiarity with multiple machine learning techniques with hands-on experience using scikit-learn, Keras, TensorFlow, or PyTorch·
• Bachelor of Science Degree or higher in computer science, statistics, or other related STEM discipline

Preferred:

• Familiarity with AWS machine learning tools such as SageMaker
• Experience deploying algorithms to the AWS cloud

Working understanding of deep learning, especially transformer/encoder architectures

Job Type: Contract

Benefits:

• 401(k)
• Health Insurance

Schedule:

• Monday to Friday

Contract Length:

• 5 - 6 months

Contract Renewal:

• Possible

Full Time Opportunity:

• No

Work Location:

• Fully Remote

This Company Describes Its Culture as:

• Detail-oriented -- quality and precision-focused
• Innovative -- innovative and risk-taking
• Outcome-oriented -- results-focused with strong performance culture
• Stable -- traditional, stable, strong processes
• People-oriented -- supportive and fairness-focused
• Team-oriented -- cooperative and collaborative

Work Remotely:

• Yes