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Data Scientist (Remote)

SurePrep

Data Scientist (Remote)

Irvine, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Data Scientist

    Full Time

    Remote, US

     

    JOB DESCRIPTION

    We are looking for a Data Scientist, reporting to the VP of AI, to help us bootstrap multiple AI/ML initiatives in the tax automation space.  The ideal candidate will work with our extensive human curated datasets to discover, research, and productionize novel automation innovations.  This will involve applying extensive machine vision, natural language processing, and supervised learning approaches to create end state production models.  Given the nature of the tax business, a focus will be put on accuracy and elasticity/scalability of the final solution.  The candidate’s time will be focused on research while also helping to drive required data pipelining and ML-engineering efforts.

                                 

    ABOUT SUREPREP

    SurePrep's software solutions 1040SCAN, SPbinder and TaxCaddy plus onshore and offshore tax preparation outsource services allow accounting firms to increase productivity and profitability while promoting a completely digital tax workflow. SurePrep provides the most automated solutions available to streamline the entire 1040 process for both the CPA and taxpayer. We seek out the brightest candidates capable of tackling the ever-evolving tech industry while maintaining a reputation that has lasted over 20 years. Our employees make SurePrep LLC. Our company culture and competitive compensations are a few reasons why we attract and maintain top talent.

    RESPONSIBILITIES

    ·       Prototype, design, implement and test machine learning innovations applied to various business problems, with focus on affecting key KPIs

    ·       Work with engineering to architect and develop models that scale efficiently

    ·       Communicate results with both technical and non-technical audiences

    ·       Participate in group learning sessions across the team by reading papers, books, blogs, and interactive classes on cutting edge machine learning techniques

    ·       Be able to wear multiple hats and work in a startup-like atmosphere; be a part of design from innovation to production

    ·       Continuous improvement of skills by researching new techniques, methods, and software relevant to our problem space

     

    QUALIFICATION

    ·       Bachelor degree in computer science or other quantitative discipline preferred

     

    REQUIREMENTS

    ·       Proven interest in data science and analytics

    ·       Experience with Python and relevant machine learning libraries (sklearn, numpy, panadas, etc.)

    ·       Exposure and some hands on experience with machine learning approaches

    ·       Must be self-driven and able to work in a dynamic, face paced, startup-like environment while communicating results and working alongside peers remotely

    ·       No prior tax/finance knowledge required

     

    NICE TO HAVE

    ·       AWS/Sagemaker experience

    ·       Experience in a relevant area of statistics, mathematics or machine learning

    ·       Examples of previous data science work, either via Kaggle, github, or past internships, school projects or work experience

    ·       Experience with deep learning for image or natural language processing

    Company Description

    SurePrep has become one of the fastest growing software companies in Orange County. Our software solutions such as 1040SCAN, SPbinder and TaxCaddy plus onshore and offshore tax preparation outsource services allow accounting firms to increase productivity and profitability while promoting a completely digital tax workflow. SurePrep provides the most automated solutions available to streamline the entire 1040 process for both the CPA and taxpayer. We seek out the brightest candidates capable of tackling the ever-evolving tech industry while maintaining a reputation that has lasted over 20 years. Our employees make SurePrep LLC. Our company culture and competitive compensations are a few reasons why we attract and maintain top talent.