Senior Behavioral Scientist

BetterUp•Austin, TX

28d•$165,600 - $230,000•Hybrid

About The Position

Transform how the world’s leading companies invest in their people. At BetterUp, we’re building a new kind of partnership with our customers — one that doesn’t stop at platform adoption. We’re in the business of deep, lasting transformation. That’s where you come in. As a Behavioral Scientist, you’ll partner directly with executives at the world’s top companies to shape human capital strategies that matter. This is a front-line, high-trust, high-impact seat. If you thrive on building executive relationships, architecting transformation, and making ideas real through people, let’s talk.

Requirements

PhD in Behavioral Science, Industrial-Organizational Psychology, Organizational Psychology, Behavioral Economics, or a closely related field

Nice To Haves

Domain expertise in behavioral science AND HR (especially Talent Development or Talent Management, L&D, & OD).
Facilitation and presentation skills, experience presenting to large audiences and executives both virtually and in person.
Experience researching and understanding businesses including business strategy, identifying business challenges, and applying business acumen.
Strengths in verbal and written communication, building and delivering presentations, and storytelling
Expertise and comfort working with quantitative and qualitative data (basic statistics, examining patterns, developing recommendations based on data).
Agility and comfort with ambiguity to adapt and adjust to the market, the state of the organization and quickly shifting priorities.
Exceptional communication skills and the ability to craft and deliver a narrative that moves hearts and minds.
Comfort with ambiguity, a bias for action, and a drive to make things better, not just get them done.
Experience operating inside high-growth SaaS, human transformation platforms, or people tech companies is a plus.
A mindset rooted in outcomes, ownership, and long-term impact

Responsibilities

Design and own the end-to-end measurement strategy aligned to each client’s purchased solution and stated business outcomes.
Translate solution capabilities into defensible success metrics, KPIs, and leading indicators of impact.
Ensure measurement frameworks are statistically sound, scalable, and aligned to client decision-making.
Build rigorous ROI models and business cases that quantify the financial and organizational impact of the solution.
Partner with Sales and Enterprise teams to embed impact narratives into deal strategy and late-stage sales motions.
Produce executive-ready materials that directly support deal expansion, renewal, and upsell conversations.
Lead advanced data analysis to identify meaningful patterns, causal signals, and outcome drivers across client datasets.
Move beyond descriptive analytics to generate insights that explain why outcomes are occurring and what to do next.
Validate findings against scientific standards to ensure credibility and repeatability.
Develop high-impact data narratives that translate complex analyses into clear, compelling executive insights.
Create and deliver Business Value Reviews that demonstrate measurable value realization.
Influence senior client stakeholders by connecting data to strategic priorities and operational decisions.
Act as a core partner in ensuring clients achieve and recognize value from their investment.
Proactively surface risks to value realization and recommend evidence-based course corrections.
Strengthen client trust and long-term partnerships through credible, outcome-focused storytelling.
Serve as the internal authority responsible for upholding the scientific rigor, validity, and ethical standards of all measurement and analytics work.
Safeguard the credibility of the company’s science in both client-facing and internal contexts.
Bring pattern recognition, coaching mindset, and a high bar for strategic execution to every engagement.
Applies AI-driven tools and insights to enhance client engagement, identify growth opportunities, and improve account performance (e.g., personalization, upsell targeting, churn prediction).
Uses AI-generated insights and data analysis to quantify impact on client outcomes (e.g., retention, expansion, ROI) and inform strategic account recommendations.