BEHAVIORAL SCIENTIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Sep 20, 2024 - The Behavioral Scientist with demonstrated expertise in applied behavioral science literature and social science research methods is skilled at translating theory into concrete intervention strategies to improve financial behavior problems. This position is systematically designed for behavior change by identifying behavioral issues and assessing potential solutions through literature review and in-product data analysis. Their roles in quantitative methods like A/B testing and randomized controlled trials, along with tools such as Qualtrics, MTurk, and R, enable them to provide clear, actionable insights to inspire ideation and partner effectively with product teams.
Summary of Behavioral Scientist Knowledge and Qualifications on Resume
1. BS in Psychology with 5 years of Experience
- Industry experience applying behavioral science in the business world, ideally in financial services, or fintech
- Proven experience in experimental design, methodology and statistics directly related to behavioral science, cognition, judgment, or decision making
- Experience applying behavioral science principles in an industry setting.
- Advanced knowledge of statistics, preferably passionate about causality.
- Appetite to learn across functions.
- Production-level coding and machine-learning capabilities
- Ability to lead cross-functional projects.
- Expertise in social psychology
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience conducting large-scale applied research studies
- Experience analyzing experimental research data as well as big data from surveys and archival data
2. BA in Sociology with 3 years of Experience
- Experience developing and validating survey measures or assessments
- Advanced Statistics (ANOVAs, Regressions, HLM, longitudinal data analysis, factor analysis, IRT, cluster analysis or SEM/Path Analysis)
- Proficiency in at least one statistics program (SPSS, R, SAS, Python, etc.)
- Experience using and researching with single-item measures
- Highly adaptable, creative, and thrives in a fast-paced work environment
- Strong organizational skills, time management, and program management skills
- Ability to present complicated material to a range of stakeholders with differing levels of technical expertise.
- Strong business acumen and ability to articulate how experiments align with product context/KPIs and design processes to drive business outcomes.
- Experience in a behavioral science-related discipline (cognitive or social psychology, behavioral economics, marketing, or judgment and decision-making).
- Demonstrated ability to design behavioral interventions and experiments.
- High attention to detail, strong people and relationship-building skills.
- Pragmatic optimism, humble and sincere confidence, and a growth mindset.
- Ability to navigate ambiguity and solve problems in a fast-paced environment
3. BS in Behavioral Science with 4 years of Experience
- Experience in designing and leading research studies
- Experience with leading quantitative and qualitative customer segmentation analyses
- Working knowledge of at least one statistical analysis tool such as R, SPSS, SAS
- Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
- Expert in analyzing large datasets and strong communication skills
- Cross-functional project management experience
- Experience building predictive models
- Experience making business-driven decisions based on research and data
- Familiar with ethical considerations in experimentation and application of Behavioral Science to experiences to protect customers and reputation
- Exceptional communication skills, written and verbal
4. BA in Anthropology with 6 years of Experience
- Experience applying behavioral science concepts and social science research methods to consumer behavior change products, ideally in the financial decision-making domain.
- Demonstrated expertise of the applied behavioral science literature
- Ability to translate theory into concrete intervention strategies to improve financial behavior problems.
- Reliance on a systematic process for designing for behavior change by identifying a behavioral problem and assessing potential solutions based on the literature and in-product data.
- Ability to independently design quantitative experiments
- Ability to understand of basic statistical analyses, sampling/power considerations, and experimental design (e.g., bias control, randomization).
- Experience with a range of quantitative methods such as A/B testing and randomized controlled trials and
- Experience using tools that support this methodology (e.g., Qualtrics, MTurk, CloudResearch, R, SPSS).
- Ability to interpret results from quantitative and qualitative research to answer product-related questions.
- Provide clear implications, recommendations, and/or provocations to elicit action and inspire ideation, and act as a partner to product teams.