Remote Data Science Jobs

Remote, USA Full-time Posted 2025-02-21

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
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
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
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