Decision Scientist – HealthTech / Medical Data Analytics & Decisioning

Duration : 7 Months Location : Dallas, TX (onsite in a hybrid model) Job Description : The client is looking for a Decision Scientist to join their Marketing & Commercial Decision Science and Analytics Engineering group. This role will be part of the full analytics lifecycle—from building and managing data pipelines to generating insights and translating them into business-impacting decisions. Someone who can blend technical rigor with business understanding—comfortable working end-to-end across data engineering, analysis, experimentation, and strategic recommendation. This is an opportunity for someone who enjoys going beyond data analysis to frame business problems, design experiments, build models, and deliver clear recommendations that drive strategic outcomes. Key Responsibilities : Partner across teams to define business problems, structure analyses, and deliver data-backed recommendations. Build, maintain, and optimize data pipelines and data models {including work with Data Build Tool (DBT)}. Conduct deep-dive analyses, build statistical models, and apply behavioral insights to guide decision-making. Design and evaluate experiments / A / B tests, applying strong statistical methodology. Develop clear, compelling dashboards, data stories, and visualizations that influence stakeholders. Translate complex analytical findings into actions that support critical commercial and marketing decisions. Required Experience (Mandatory) : 3+ years in Decision Science, Data Science, Product Analytics, or a related function. Expert SQL skills for data extraction and transformation. Hands-on experience with Data Build Tool (DBT) for data modeling. Strong foundation in statistics, hypothesis testing, and experimental design (A / B testing). Proficiency in visualization tools such as Tableau, Looker, or Power BI. Ability to connect technical insights to business strategy and prioritize work based on impact. Excellent communication skills, with the ability to tell a clear story with data and influence decisions. Analytical, curious, and structured thinking with strong problem-solving abilities. Education : Bachelor’s or Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Computer Science, Mathematics, or related). About US Tech Solutions : US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.