Swayable Logo

Swayable

Research Data Scientist

Reposted 10 Days Ago
Remote
Hiring Remotely in USA
125K-165K Annually
Mid level
Remote
Hiring Remotely in USA
125K-165K Annually
Mid level
Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.
The summary above was generated by AI

About Swayable:

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).

Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs

About The Role:

This is a uniquely exciting opportunity to tackle critical unsolved problems in public opinion research and causal modeling. As a Research Data Scientist (reporting to the Director of Data Science), you’ll have the infrastructure and talent around you to turn results into new discoveries, prototypes and features that deliver insights to the world's most important organizations. 

What You’ll Do:

  • Conduct data science research to push our experimental methodologies to the bleeding edge of social science
  • Develop robust tools to uncover insights in experimental data 
  • Prototype data science improvements to core platform features
  • Communicate the results of data science investigations to both internal and 

Who You Are:

  • Fluency in the python data science stack
  • Expertise in statistical, analytical, and data science methods
  • Excellent communication and data visualization skills
  • Ability to work independently, prioritizing multiple important tasks/deadlines
  • A keen eye for the 20% of effort that delivers 80% of the results
  • Being a flexible team player whose values align with ours

Preferred Qualifications:

  • Experience writing and reviewing production-quality python code.
  • Experience working in a fast-moving startup environment
  • Experience interacting with MongoDB databases
  • Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field.

Benefits:

  • 100% Medical, Dental & Vision Plans - no employee contribution required
  • Generous PTO
  • Equity Options
  • 401k plan, FSA
  • Ongoing professional development investments
  • Salary: $125-$165k, dependent on experience and location

Swayable is an equal opportunity employer. We strive to promote an organizational environment that values diversity and fosters growth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other basis prohibited by law. The team especially encourages applicants from underrepresented backgrounds.

Similar Jobs

13 Days Ago
Remote
United States
136K-182K Annually
Senior level
136K-182K Annually
Senior level
eCommerce • Software
Lead research defining fabric's AI shopping roadmap: design and run quantitative studies, build models and benchmarks for AI search (AEO/GEO), run experiments, translate findings into customer-facing insights, and publish research to influence product and go-to-market strategy.
Top Skills: PythonSQL
20 Days Ago
In-Office or Remote
Senior level
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
Lead development and refactoring of optimization algorithms and end-to-end ML pipelines for supply chain, pricing, and inventory allocation. Build predictive models, use mathematical programming solvers, run experiments, monitor KPIs, and collaborate with stakeholders to drive replenishment and allocation improvements.
Top Skills: CplexGoogle Or-ToolsGurobiMlflowPysparkPythonSQLXpress Mp
12 Days Ago
In-Office or Remote
Georgia, USA
Mid level
Mid level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Conduct original research on generative AI and LLMs for crypto/finance, design and run rigorous experiments, build evaluation frameworks, develop post-training and test-time scaling methods, and collaborate with engineers to deploy research into production focused on agent reasoning, alignment, and robustness.
Top Skills: Claude CodeCopilot WorkspaceCursorLarge Language Models (Llms)Monte Carlo Tree SearchPythonPyTorchRlhfRlvrTransformers

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account