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Description:
K1x is the leading data distribution platform for alternative investments, focused on digitizing the K-1 ecosystem.
The company is seeking a highly skilled and experienced Staff Data Scientist to join their dynamic team.
The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience with unstructured and semi-structured data, such as financial statements and tax documents.
The Staff Data Scientist will develop and implement machine learning models to enhance the software’s ability to process partnership accounting and tax documents accurately and efficiently.
Responsibilities include developing and optimizing machine learning models for parsing and extracting data from PDF tax documents, collaborating with cross-functional teams, applying statistical analysis for product development, and mentoring junior data scientists.
Requirements:
A PhD or Master’s degree in a relevant quantitative field (e.g., data science, mathematics, statistics) or equivalent experience is required.
Candidates must have 6+ years of professional experience in an analytics-focused role, such as data science, machine learning, or quantitative research.
A strong programming background in Python and experience with machine learning libraries, such as PyTorch, is essential.
Demonstrated experience in building machine learning models in a business setting is necessary.
Excellent communication and collaboration skills are required 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 are crucial.
Benefits:
The position offers an unlimited vacation policy, sick time, and holidays.