Buyers Edge Platform is seeking a Data Scientist – Business Intelligence to develop predictive and statistical models that drive strategic insights across the organization. This role collaborates with BI analysts, data engineers, and business stakeholders to transform complex datasets into actionable intelligence. The ideal candidate is a hands-on modeler who thrives in a collaborative, fast-paced environment and translates business questions into scalable data solutions.
Responsibilities:
- Conduct exploratory data analysis and hypothesis testing to uncover trends and opportunities.
- Translate ambiguous business problems into measurable modeling challenges.
- Design, build, validate, and deploy statistical and machine learning models.
- Collaborate with engineering teams to productionize models within dashboards and workflows.
- Promote rigorous methodology, model transparency, and interpretability.
- Stay current with advancements in machine learning, forecasting, and AI techniques.
Requirements:
- Degree in Statistics, Computer Science, Mathematics, or related field.
- 2–3 years of experience in data science or applied analytics roles.
- Strong proficiency in Python (pandas, scikit-learn, statsmodels) and SQL.
- Experience working with large-scale datasets.
- Understanding of statistical modeling, forecasting, and supervised learning techniques.
- Ability to communicate insights to technical and non-technical stakeholders.
Benefits:
- Comprehensive medical, dental, and vision coverage.
- 401(k) with company match.
- Flexible PTO policy.
- Professional development and training opportunities.
This full-time remote role requires strong analytical expertise, modeling proficiency, and the ability to deliver production-grade predictive intelligence solutions.