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Data Scientist

Remote: 
Full Remote
Contract: 

Offer summary

Qualifications:

3 years industry experience as a Data Scientist, Proficient in Python and SQL, Advanced English level (C1), Strong communication skills.

Key responsabilities:

  • Develop predictive models using machine learning
  • Conduct data cleaning and preparation
  • Collaborate with Solutions Architects
  • Perform feature engineering for model enhancement
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HopHR Information Technology & Services Startup https://hophr.com/
11 - 50 Employees
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Job description

Our client is a California-based start-up revolutionizing the industry with the most precise no-code AI tool in the market.

We’re looking for a full-time contractor to be part of this cutting-edge journey and make a meaningful impact.

Responsibilities
  • Develop predictive models: Design, implement, and optimize machine learning models to meet diverse business needs.
  • Conduct data cleaning, transformation, and preparation: Ensure datasets are structured and ready for analysis to support high-quality outputs.
  • Collaborate with Solutions Architects: Work closely with the team to understand client use cases and customize AI solutions.
  • Perform feature engineering: Extract meaningful features to enhance model performance and predictive accuracy.

  • Requirements
  • Candidates must have at least 3 years of hands-on industry experience as a Data Scientist.
  • Advanced English level (minimum C1), with excellent communication skills to engage with diverse stakeholders.
  • Proficiency in Python, including libraries such as Scikit-Learn, Pandas and NumPy.
  • Strong SQL skills for data querying and manipulation.
  • Candidates from Brazil must have a PJ set up

  • Interview process
  • Call with Hop team
  • Behavioral Interview with CTO
  • SQL Assessment
  • Business Case
  • Required profile

    Experience

    Industry :
    Information Technology & Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Collaboration
    • Communication

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