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Data Scientist

$99,500 - $119,300/Yr

Aitopics - Draper, UT

posted about 2 months ago

Full-time - Mid Level
Draper, UT

About the position

The Data Scientist role at BILL is a strategic position that supports the core product platform by developing predictive models and data-driven solutions. This position is integral to unlocking value for the Sales and Revenue teams, allowing for the ownership of an end-to-end predictive solution. The role requires collaboration with cross-functional teams to analyze complex business problems and communicate findings effectively.

Responsibilities

  • Design, develop, and implement predictive models and machine learning algorithms.
  • Analyze high volume, complex transaction activity to assess patterns and trends.
  • Communicate effectively with internal and external stakeholders to define business problems and present findings.
  • Stay updated with the latest developments in data science and machine learning to improve existing processes.
  • Contribute to data features/models via dbt or other means.

Requirements

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 2 years of experience in a data science role with a track record of delivering high-impact projects.
  • Strong background in statistical analysis and machine learning techniques.
  • Proficiency in programming languages such as Python or R in a cloud-based environment.
  • Excellent communication and presentation skills.

Nice-to-haves

  • Experience working in cross-functional teams.
  • Ability to analyze complex business problems and develop data-driven solutions.
  • Experience in model development and data analysis.

Benefits

  • 100% paid employee health, dental, and vision plans.
  • Life Insurance, Long & Short-term disability coverage.
  • Employee Assistance Program (EAP).
  • 11+ Observed holidays and wellness days.
  • Flexible time off.
  • Employee Stock Purchase Program with employee discounts.
  • Wellness & Fitness initiatives.
  • Employee recognition and referral programs.
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