Research Data Scientist

SwayableSwayable·Remote
Data & Analytics

WFA Digital Insight

In today's competitive landscape, the demand for skilled Research Data Scientists is surging, with a 40% year-over-year growth noted in remote tech roles. Swayable stands out not only due to its innovative AI-driven approach to public opinion research but also by its commitment to social impact—transforming how organizations engage with the public. Candidates with a strong foundation in Python and a knack for statistical analysis will find numerous opportunities to contribute meaningfully while working remotely. Before applying, ensure you understand the significance of clean data management and effective communication in this role.

Job Description

About Swayable

Swayable is an innovative AI and automated data science platform focused on measuring public opinion and analyzing the impact of messaging and advertising.

About the Role

As a Research Data Scientist, you will work on pioneering solutions in public opinion research and causal modeling, contributing to groundbreaking findings that influence important campaigns.

Responsibilities

  • Conduct cutting-edge data science research to enhance experimental methodologies.
  • Develop tools to uncover insights from experimental data.
  • Prototype improvements to the core platform features.
  • Communicate findings from data scientific investigations clearly to the team.

Requirements

  • Proficiency in the Python data science stack.
  • Strong expertise in statistical and analytical methods relevant to data science.

Nice to Have

  • Experience with causal modeling and advanced statistical techniques.
  • Background in social science research is a plus.

Benefits

  • Opportunity to impact significant organizational strategies and campaigns.
  • Work within a diverse and driven team that values innovation.

How to Stand Out

  • Ensure your Python skills are up to date by working on real data projects or contributing to open-source.
  • Highlight any experience you have with statistical methods, particularly in social sciences or data experimentation.
  • Prepare to discuss past projects where your insights led to impactful decisions or changes.
  • Showcase your ability to communicate complex data analyses clearly—consider including examples in your portfolio.
  • Research Swayable's clients and their areas of focus to tailor your application and interview responses.

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