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Remote data scientist jobs at U.S. companies ID-16937

Job responsibilities

  • Identify business challenges and opportunities for product/service improvements.
  • Use analysis to make strategic or tactical recommendations.
  • Apply data cleaning and wrangling expertise, quantitative analysis, and data mining.
  • Partner with product and engineering teams to solve problems and identify trends and opportunities.
  • Inform, influence, support, and execute product decisions and launches.
  • Forecast and set product team goals and design and evaluate experiments.
  • Monitor key product metrics and understand the root causes of changes in metrics.
  • Build and analyze dashboards and reports.
  • Build key datasets to empower operational and exploratory analysis.
  • Propose what to build in the next roadmap.
  • Understand ecosystems, user behaviors, and long-term trends.
  • Identify new levers to help move key metrics.
  • Build models of user behaviors for analysis or to power production systems.
  • Influence product teams by presenting data-based recommendations.
  • Communicate the state of business, experiment results, etc., to product teams.
  • Spread best practices to the analytics and product teams

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Minimum requirements

  • Bachelor’s Degree/MA or Ph.D. focusing on Business, Math, Economics, Finance, Statistics, Science, or Engineering.
  • Knowledge of quantitative data analysis, report writing, and presentation of findings.
  • Expertise with data querying languages (e.g., SQL)
  • Proficiency in scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB).
  • Fluency in English to collaborate with engineering managers and other team members
  • Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones

Preferred skills

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data.
  • Applied statistics or experimentation (i.e., A/B testing) in an industry setting.
  • Expertise in communicating the results of analyses to product or leadership teams to influence strategy

Interested in this job?

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