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Senior Data Scientist (NLP/ML)

Muse Tax

Muse Tax

Software Engineering, Data Science
New York, NY, USA
Posted on Wednesday, September 13, 2023
Who We Are

Muse is a platform that helps individual taxpayers and SMBs extract data from tax returns, maximize refunds, and create personalized tax plans through an AI-based, tax planning module.

For developers and businesses, Muse provides an embedded API for them to access the US tax code, perform calculations and provide AI-based scenarios for creating tax plans within their application or platform.

About The Role

We’re looking for an intelligent highly-talented Senior Data Scientist ready to take on a huge opportunity to build Muse’s core algorithms.

If that sounds like you and you’re looking to be part of a fast-growing company, join us!

Responsibilities
  • Lead Data Scientist role
  • Build a data-science team where you will lead end-to-end ML projects: from data extraction via OCR through model validation & A/B testing to model deploying.
  • Discovering and translating business challenges into data pipelines and model frameworks.
  • Work closely with Management, Data-Engineering, and Development teams
  • Interface with R&D and data engineering to integrate data collection, data quality, and core model output into production systems.
  • Build a startup company: Help setting priorities and making design decisions based on your experience and insights.
Requirements:
  • We are unable to sponsor or take over sponsorship of an employment Visa at this time.
  • At least 5 years experience with data science projects from early-stage concept to production rollouts.
  • Minimum 2 years of experience with NLP in production.
  • Experience and desire to do end-to-end full-cycle data science
  • Advantage: Previous experience as a Developer/Data Engineer.
  • Broad expertise in multiple industries/domains (vs a single field specialist).
  • Broad knowledge and experience of data science modeling techniques (from time-series prediction to OCR to RNNs and anything in between) and their use within the industry
  • Hands-on experience with data science tooling (TensorFlow, scikit, pyTorch, spacy) and dev environments (PyCharm, Anaconda)
  • An all-around data scientist: strong statistics background, strong analytical mindset, experience in experimentation, data visualization, machine learning algorithms, optimization, and big data.
  • Experience with Python, MySQL is mandatory.
  • Advantage: Experience with Cloud Machine Learning Platforms (Google Vertex AI / AWS SageMaker)
  • Strong advantage: Kaggle profile