Data Scientist

Summary

Join K1x, a leading data distribution platform for alternative investments, as a Staff Data Scientist. This fully remote position, preferably Midwest-based, focuses on developing and implementing machine learning models to enhance the company's software for processing financial and tax documents. You will collaborate with cross-functional teams, apply statistical analysis, and mentor junior data scientists. The ideal candidate possesses extensive NLP experience and a strong background in working with unstructured data. This role offers an exciting opportunity to work on challenging problems and contribute to shaping the future of alternative investments management and distribution.

Requirements

• Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field
• 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects
• Demonstrated experience leading end-to-end data science project implementations
• Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
• Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy, Huggingface)
• Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience
• 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects
• Demonstrated experience leading end-to-end data science project implementations
• Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
• Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy)

Responsibilities

• Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents
• Collaborate with cross-functional teams to integrate machine learning solutions into our software products
• Apply statistical analysis to identify signals, trends, and insights that can inform product development
• Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment

Preferred Qualifications

• Previous experience with applications of NLP to financial documents
• Familiarity with alternative investment accounting needs
• Experience deploying machine learning models using containerization and orchestration technologies

Benefits

• Unlimited Vacation Policy + Sick Time + Holidays
• Paid Parental Leave
• Fully Remote Opportunity
• Healthcare Benefits and 401K