Data Scientist

Summary

Join K1x, a leading data distribution platform for alternative investments, as a Staff Data Scientist. This fully remote position requires a strong background in natural language processing (NLP) and experience with unstructured data. You will develop and implement machine learning models to enhance software processing of partnership accounting and tax documents. Collaboration with cross-functional teams and mentoring junior data scientists are key aspects of the role. The ideal candidate possesses a PhD or Master's degree in a quantitative field and 6+ years of relevant experience. K1x offers a competitive benefits package including unlimited vacation, paid parental leave, healthcare benefits, and a 401k.

Requirements

• PhD or Master’s degree in a relevant quantitative field (e.g. data science, mathematics, statistics), or equivalent experience
• 6+ years of professional experience in an analytics-focused role (e.g. data science, machine learning, quantitative research)
• Strong programming background in Python and experience with machine learning libraries such as PyTorch
• Demonstrated experience in building machine learning models in a business setting
• Excellent communication and collaboration skills with the ability to work effectively in a cross-functional team environment
• Exceptional problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
• 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
• Growing Startup Culture