Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!

Who we are

We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.

Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.

What you’ll get to work on

Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.

The details

As a senior member of our Data Science team, you will:

• Conduct rigorous analyses to understand how people interact, communicate, and collaborate, using large and complex product datasets
• Transform messy, raw, complex product data into meaningful and valid features that effectively describe collaboration and communication behavior
• Collaborate with non-Data Scientists in the Product Organization (Product Managers, Engineers, and Designers) to build new product features, and adopt a product mindset in all your analyses 
• Collaborate with our Behavioral Science team to design user-facing dashboards and insights that motivate and inspire action
• Design meaningful metrics and KPIs to track product performance, and build internal dashboards to build a deeper understanding of our product internally
• Learn from and collaborate with other Data Scientists, as well as mentor others on the team

Qualifications:

• 4+ years of industry experience working on a Data Science team; preferably a team that uses product usage/interaction data to drive product development and innovation
• Expert knowledge of advanced statistical techniques  (e.g., regression, cluster analysis, social network analysis, latent profile analysis, hierarchical linear modeling, choice modeling, Bayesian methodologies, etc.) 
• Expert in R or Python
• Proficient in SQL
• Knowledge of Git a plus but not required
• Knowledge of human behavior (e.g., economics, sociology, psychology) a plus but not required
• Ability to translate data into compelling insights for a non-technical audience
• Strong cross-functional collaboration and communication skills 
• Ability to navigate ambiguity and solve problems in a fast-paced environment