Paradigm is a strategy firm that partners with innovative companies to build stronger, more inclusive organizations. We believe that with the benefit of diverse perspectives, our clients will design better products, deliver better services, and build a better world. Since our founding in 2014, we have worked to improve diversity and inclusion (D&I) in more than 200 companies across a range of industries, from technology and financial services to law and media. You can learn more about our clients here. Our work has been featured in The Wall Street Journal, The New York Times, The Atlantic, Harvard Business Review, PBS NewsHour, TechCrunch, and several other outlets.
Paradigm’s Data Science and Research Team (DSR) partners with our Consulting Team to design effective, data-driven D&I strategies for clients. We use quantitative data across the full employee lifecycle to pinpoint where barriers exist, conduct both quantitative and qualitative research to understand why they exist, and create tailored strategy to increase diversity, promote equity, and foster inclusion. We are growing the DSR team with a People Data Scientist who will lead analysis of people-related data and provide analytical support on a number of projects.
Defining Your Success
As a People Data Scientist, you will have accomplished the following within your first 12 months at Paradigm:
- You will conduct both quantitative and qualitative analyses of client data to assess diversity and inclusion across the employee lifecycle, from how companies attract and hire people to how they develop and retain their workforce.
- You will meet with clients to explain our data needs and conduct a wide range of analyses on data from multiple sources.
- Using insights from your data collection and analysis, you will partner with the Strategy & Insights consultants and collaborate on written reports and final presentations for our clients.
- You will create new tools and workflows to streamline DSR processes.
- You will conduct and identify opportunities for research that will improve general knowledge and help better advise our clients.
- R language: You have experience with and are comfortable working in the R computing language. You can clean, manipulate, and merge data, conduct a wide variety of analyses, visualize data, check assumptions of statistical tests, and write and debug functions. You may have also scraped data or pulled data through APIs.
- Statistics: You have statistical and/or econometric training as a part of an advanced degree (in some cases, we will also consider intensive programs or bootcamps).
- Work experience: You have at least 1 year of non-academic professional experience. Preference will be given to those with previous experience as a data scientist, quantitative researcher, or people analyst.
- People data: You have experience working with observational data of individuals (i.e. employees, users, consumers) from multiple sources and with varying size, structure, and complexity. Ideally you have experience working with human resource, talent, or applicant data.
- Social science: You have a background in social science, including but not limited to organizational behavior, sociology, social psychology, political science, economics, etc.
- Tools: You may have developed reproducible tools and notebooks for internal use, using version control tools like Git/Github.
- Data visualization: You have experience presenting data to stakeholders. You may have experience producing visualizations for public audience, either in print or online.
About Your Approach to Work
- You’re proactive. When you don’t know how to do something, you're motivated to do the work to figure it out.
- You are a problem finder and problem solver: you can spot opportunities for improvement but always come with a set of solutions that may address those gaps.
- You love explaining complex concepts to non-technical audiences.
- You care about the details. You develop processes to double check your work, and have experience working in a role where you were responsible for giving attention to detail. For example, you build checks into your analyses to help catch mistakes.
- You're comfortable balancing multiple projects at once. You can move quickly from one project to the next, even if they require different skills (for example, jumping from a strategy call with the Paradigm team to conducting in-depth analyses).
- You are motivated to continuously improve yourself and those around you.
- You acknowledge when you’ve made a mistake. You talk openly about mistakes and make plans to improve and avoid similar mistakes in the future.
- You enjoy working both independently and collaboratively.
Details: This is a full-time role based in San Francisco. We offer competitive salaries, equity, and benefits, including healthcare, vision, dental, and a 401(k) with employer matching.
Our commitment to diversity and inclusion: We deeply understand the value of bringing together a team with different perspectives, educational backgrounds, and life experiences, and we prioritize diversity within our team. We encourage people from underrepresented backgrounds to apply.
Are you passionate about using data to help companies become more equitable, diverse and inclusive? We’d love to hear from you!