Posted in

Data Scientist

Data Scientist

CompanyPartiful
LocationNew York, NY, USA
Salary$140000 – $160000
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelJunior, Mid Level

Requirements

  • Have a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
  • Have 2-4 years of experience in data science or a related role
  • Are fluent in SQL and Python (Javascript a plus)
  • Have experience with machine learning frameworks and libraries
  • Are familiar with data tools such as Amplitude, DBT and Hex
  • Have experience using data to drive business decisions; care about not just *what* the numbers say, but *how* we use them to make better decisions
  • Communicate complex data findings in a clear and concise manner to non-technical stakeholders
  • Work collaboratively with others
  • Care about user experience
  • Elegantly structure and decomp complex data problems
  • Are comfortable with ambiguity
  • Take initiative, work independently, and thrive in fast-moving environments
  • Put ego aside when making decisions

Responsibilities

  • Make key data decisions across the company
  • Analyze large and complex datasets to derive actionable insights
  • Monitor performance trends and conduct diagnostic analyses (e.g., why did registrations spike?)
  • Collaborate closely with the product team to identify key benchmarks for new features, and analyze the performance of all aspects of the product
  • Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth
  • Own the data dictionary and support a culture of data literacy across teams
  • Maintain the Amplitude taxonomy and ensure it’s reliable, documented, and intuitive
  • Identify and execute on opportunities to improve our data infrastructure, processes, and tooling
  • Provide regular updates and insights to help the company stay informed on progress towards our goals

Preferred Qualifications

  • Experience with machine learning frameworks and libraries
  • Familiarity with data tools such as Amplitude, DBT and Hex