Demo

Data Scientist

K1X
Indianapolis, IN Full Time
POSTED ON 4/16/2025
AVAILABLE BEFORE 5/15/2025

Fully Remote Position

Please make sure you read the following details carefully before making any applications.

Preferred Locations : Midwest based : Indianapolis, IN or IL, Chicagoland Area preferred

Who We Are :

K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we’re the first to produce a digital K-1. Learn more at www.k1x.io

About the role :

We are seeking a highly skilled and experienced Staff Data Scientist to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Staff Data Scientist, you will play a critical role in developing and implementing machine learning models that enhance our software’s ability to accurately and efficiently process partnership accounting and tax documents.

If you are an experienced data scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution!

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.

Minimum Qualifications :

  • 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
  • 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
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